fix: resolve TypeError and improve Pydantic compatibility in async-context-compression v1.2.2

chore: update community stats - followers increased (142 -> 143)
chore: update community stats - followers increased (141 -> 142)
2026-01-21 21:51:58 +08:00 · 2026-01-21 13:22:53 +00:00 · 2026-01-21 12:15:46 +00:00 · 2026-01-21 04:25:49 +00:00 · 2026-01-20 20:27:29 +00:00 · 2026-01-20 13:23:26 +00:00
29 changed files with 1475 additions and 179 deletions
--- a/.agent/workflows/plugin-development.md
+++ b/.agent/workflows/plugin-development.md
@@ -90,6 +90,9 @@ Reference: `.github/workflows/release.yml`
    - Action: Automatically updates the plugin code and metadata on OpenWebUI.com using `scripts/publish_plugin.py`.
    - **Auto-Sync**: If a local plugin has no ID but matches an existing published plugin by **Title**, the script will automatically fetch the ID, update the local file, and proceed with the update.
    - Requirement: `OPENWEBUI_API_KEY` secret must be set.
+    - **README Link**: When announcing a release, always include the GitHub README URL for the plugin:
+      - Format: `https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/{type}/{name}/README.md`
+      - Example: `https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/filters/folder-memory/README.md`

 ### Pull Request Check
 - Workflow: `.github/workflows/plugin-version-check.yml`
--- a/.github/copilot-instructions.md
+++ b/.github/copilot-instructions.md
@@ -822,6 +822,22 @@ Filter 实例是**单例 (Singleton)**。

 #### Commit Message 规范
 使用 Conventional Commits 格式 (`feat`, `fix`, `docs`, etc.)。
+**必须**在提交标题与正文中清晰描述变更内容，确保在 Release 页面可读且可追踪。
+
+要求：
+- 标题必须包含“做了什么”与影响范围（避免含糊词）。
+- 正文必须列出关键变更点（1-3 条），与实际改动一一对应。
+- 若影响用户或插件行为，必须在正文标明影响与迁移说明。
+
+推荐格式：
+- `feat(actions): add export settings panel`
+- `fix(filters): handle empty metadata to avoid crash`
+- `docs(plugins): update bilingual README structure`
+
+正文示例：
+- Add valves for export format selection
+- Update README/README_CN to include What's New section
+- Migration: default TITLE_SOURCE changed to chat_title

 ### 4. 🤖 Git Operations (Agent Rules)

--- a/README.md
+++ b/README.md
@@ -10,28 +10,28 @@ A collection of enhancements, plugins, and prompts for [OpenWebUI](https://githu
 <!-- STATS_START -->
 ## 📊 Community Stats

-> 🕐 Auto-updated: 2026-01-20 17:15
+> 🕐 Auto-updated: 2026-01-21 21:22

 | 👤 Author | 👥 Followers | ⭐ Points | 🏆 Contributions |
 |:---:|:---:|:---:|:---:|
-| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **137** | **134** | **25** |
+| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **143** | **135** | **26** |

 | 📝 Posts | ⬇️ Downloads | 👁️ Views | 👍 Upvotes | 💾 Saves |
 |:---:|:---:|:---:|:---:|:---:|
-| **16** | **1878** | **22027** | **120** | **147** |
+| **17** | **1974** | **22983** | **121** | **153** |

 ### 🔥 Top 6 Popular Plugins

-> 🕐 Auto-updated: 2026-01-20 17:15
+> 🕐 Auto-updated: 2026-01-21 21:22

 | Rank | Plugin | Version | Downloads | Views | Updated |
 |:---:|------|:---:|:---:|:---:|:---:|
-| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.1 | 550 | 4933 | 2026-01-17 |
-| 🥈 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 281 | 2651 | 2026-01-18 |
-| 🥉 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 213 | 835 | 2026-01-07 |
-| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.2.0 | 189 | 2048 | 2026-01-19 |
-| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 168 | 1449 | 2026-01-17 |
-| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 143 | 2386 | 2026-01-17 |
+| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.1 | 562 | 5047 | 2026-01-17 |
+| 🥈 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 298 | 2777 | 2026-01-18 |
+| 🥉 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 227 | 897 | 2026-01-07 |
+| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.2.1 | 197 | 2137 | 2026-01-20 |
+| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 179 | 1509 | 2026-01-17 |
+| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 147 | 2434 | 2026-01-17 |

 *See full stats in [Community Stats Report](./docs/community-stats.md)*
 <!-- STATS_END -->
@@ -53,6 +53,7 @@ Located in the `plugins/` directory, containing Python-based enhancements:
 #### Filters
 - **Async Context Compression** (`async-context-compression`): Optimizes token usage via context compression.
 - **Context Enhancement** (`context_enhancement_filter`): Enhances chat context.
+- **Folder Memory** (`folder-memory`): Automatically extracts project rules from conversations and injects them into the folder's system prompt.
 - **Markdown Normalizer** (`markdown_normalizer`): Fixes common Markdown formatting issues in LLM outputs.

 #### Pipelines
--- a/README_CN.md
+++ b/README_CN.md
@@ -7,28 +7,28 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
 <!-- STATS_START -->
 ## 📊 社区统计

-> 🕐 自动更新于 2026-01-20 17:15
+> 🕐 自动更新于 2026-01-21 21:22

 | 👤 作者 | 👥 粉丝 | ⭐ 积分 | 🏆 贡献 |
 |:---:|:---:|:---:|:---:|
-| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **137** | **134** | **25** |
+| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **143** | **135** | **26** |

 | 📝 发布 | ⬇️ 下载 | 👁️ 浏览 | 👍 点赞 | 💾 收藏 |
 |:---:|:---:|:---:|:---:|:---:|
-| **16** | **1878** | **22027** | **120** | **147** |
+| **17** | **1974** | **22983** | **121** | **153** |

 ### 🔥 热门插件 Top 6

-> 🕐 自动更新于 2026-01-20 17:15
+> 🕐 自动更新于 2026-01-21 21:22

 | 排名 | 插件 | 版本 | 下载 | 浏览 | 更新日期 |
 |:---:|------|:---:|:---:|:---:|:---:|
-| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.1 | 550 | 4933 | 2026-01-17 |
-| 🥈 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 281 | 2651 | 2026-01-18 |
-| 🥉 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 213 | 835 | 2026-01-07 |
-| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.2.0 | 189 | 2048 | 2026-01-19 |
-| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 168 | 1449 | 2026-01-17 |
-| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 143 | 2386 | 2026-01-17 |
+| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.1 | 562 | 5047 | 2026-01-17 |
+| 🥈 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 298 | 2777 | 2026-01-18 |
+| 🥉 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 227 | 897 | 2026-01-07 |
+| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.2.1 | 197 | 2137 | 2026-01-20 |
+| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 179 | 1509 | 2026-01-17 |
+| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 147 | 2434 | 2026-01-17 |

 *完整统计请查看 [社区统计报告](./docs/community-stats.zh.md)*
 <!-- STATS_END -->
@@ -50,6 +50,7 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
 #### Filters (消息处理)
 - **Async Context Compression** (`async-context-compression`): 异步上下文压缩，优化 Token 使用。
 - **Context Enhancement** (`context_enhancement_filter`): 上下文增强过滤器。
+- **Folder Memory** (`folder-memory`): 自动从对话中提取项目规则并注入到文件夹系统提示词中。
 - **Gemini Manifold Companion** (`gemini_manifold_companion`): Gemini Manifold 配套增强。
 - **Gemini Multimodal Filter** (`web_gemini_multimodel_filter`): 为任意模型提供多模态能力（PDF、Office、视频等），支持智能路由和字幕精修。
 - **Markdown Normalizer** (`markdown_normalizer`): 修复 LLM 输出中常见的 Markdown 格式问题。
--- a/docs/badges/downloads.json
+++ b/docs/badges/downloads.json
@@ -1,7 +1,7 @@
 {
  "schemaVersion": 1,
  "label": "downloads",
-  "message": "1.9k",
+  "message": "2.0k",
  "color": "blue",
  "namedLogo": "openwebui"
 }
--- a/docs/badges/followers.json
+++ b/docs/badges/followers.json
@@ -1,6 +1,6 @@
 {
  "schemaVersion": 1,
  "label": "followers",
-  "message": "137",
+  "message": "143",
  "color": "blue"
 }
--- a/docs/badges/plugins.json
+++ b/docs/badges/plugins.json
@@ -1,6 +1,6 @@
 {
  "schemaVersion": 1,
  "label": "plugins",
-  "message": "16",
+  "message": "17",
  "color": "green"
 }
--- a/docs/badges/points.json
+++ b/docs/badges/points.json
@@ -1,6 +1,6 @@
 {
  "schemaVersion": 1,
  "label": "points",
-  "message": "134",
+  "message": "135",
  "color": "orange"
 }
--- a/docs/badges/upvotes.json
+++ b/docs/badges/upvotes.json
@@ -1,6 +1,6 @@
 {
  "schemaVersion": 1,
  "label": "upvotes",
-  "message": "120",
+  "message": "121",
  "color": "brightgreen"
 }
--- a/docs/community-stats.json
+++ b/docs/community-stats.json
@@ -1,14 +1,14 @@
 {
-  "total_posts": 16,
-  "total_downloads": 1878,
-  "total_views": 22027,
-  "total_upvotes": 120,
+  "total_posts": 17,
+  "total_downloads": 1974,
+  "total_views": 22983,
+  "total_upvotes": 121,
  "total_downvotes": 2,
-  "total_saves": 147,
+  "total_saves": 153,
  "total_comments": 24,
  "by_type": {
    "filter": 1,
-    "action": 13,
+    "action": 14,
    "unknown": 2
  },
  "posts": [
@@ -19,10 +19,10 @@
      "version": "0.9.1",
      "author": "Fu-Jie",
      "description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
-      "downloads": 550,
-      "views": 4933,
+      "downloads": 562,
+      "views": 5047,
      "upvotes": 15,
-      "saves": 30,
+      "saves": 31,
      "comments": 11,
      "created_at": "2025-12-30",
      "updated_at": "2026-01-17",
@@ -35,10 +35,10 @@
      "version": "1.4.9",
      "author": "Fu-Jie",
      "description": "AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.",
-      "downloads": 281,
-      "views": 2651,
+      "downloads": 298,
+      "views": 2777,
      "upvotes": 14,
-      "saves": 21,
+      "saves": 22,
      "comments": 3,
      "created_at": "2025-12-28",
      "updated_at": "2026-01-18",
@@ -51,8 +51,8 @@
      "version": "0.3.7",
      "author": "Fu-Jie",
      "description": "Extracts tables from chat messages and exports them to Excel (.xlsx) files with smart formatting.",
-      "downloads": 213,
-      "views": 835,
+      "downloads": 227,
+      "views": 897,
      "upvotes": 4,
      "saves": 6,
      "comments": 0,
@@ -64,16 +64,16 @@
      "title": "Async Context Compression",
      "slug": "async_context_compression_b1655bc8",
      "type": "action",
-      "version": "1.2.0",
+      "version": "1.2.1",
      "author": "Fu-Jie",
      "description": "Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.",
-      "downloads": 189,
-      "views": 2048,
+      "downloads": 197,
+      "views": 2137,
      "upvotes": 9,
-      "saves": 22,
+      "saves": 23,
      "comments": 0,
      "created_at": "2025-11-08",
-      "updated_at": "2026-01-19",
+      "updated_at": "2026-01-20",
      "url": "https://openwebui.com/posts/async_context_compression_b1655bc8"
    },
    {
@@ -83,10 +83,10 @@
      "version": "0.4.3",
      "author": "Fu-Jie",
      "description": "Export current conversation from Markdown to Word (.docx) with Mermaid diagrams rendered client-side (Mermaid.js, SVG+PNG), LaTeX math, real hyperlinks, improved tables, syntax highlighting, and blockquote support.",
-      "downloads": 168,
-      "views": 1449,
+      "downloads": 179,
+      "views": 1509,
      "upvotes": 8,
-      "saves": 17,
+      "saves": 18,
      "comments": 0,
      "created_at": "2026-01-03",
      "updated_at": "2026-01-17",
@@ -99,8 +99,8 @@
      "version": "0.2.4",
      "author": "Fu-Jie",
      "description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
-      "downloads": 143,
-      "views": 2386,
+      "downloads": 147,
+      "views": 2434,
      "upvotes": 10,
      "saves": 12,
      "comments": 2,
@@ -115,8 +115,8 @@
      "version": "1.2.4",
      "author": "Fu-Jie",
      "description": "A content normalizer filter that fixes common Markdown formatting issues in LLM outputs, such as broken code blocks, LaTeX formulas, and list formatting.",
-      "downloads": 95,
-      "views": 2228,
+      "downloads": 100,
+      "views": 2311,
      "upvotes": 10,
      "saves": 17,
      "comments": 5,
@@ -131,8 +131,8 @@
      "version": "1.0.0",
      "author": "Fu-Jie",
      "description": "A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.",
-      "downloads": 71,
-      "views": 703,
+      "downloads": 76,
+      "views": 740,
      "upvotes": 4,
      "saves": 7,
      "comments": 0,
@@ -147,8 +147,8 @@
      "version": "0.4.3",
      "author": "Fu-Jie",
      "description": "将对话导出为 Word (.docx)，支持 Mermaid 图表 (客户端渲染 SVG+PNG)、LaTeX 数学公式、真实超链接、增强表格格式、代码高亮和引用块。",
-      "downloads": 65,
-      "views": 1329,
+      "downloads": 69,
+      "views": 1392,
      "upvotes": 11,
      "saves": 3,
      "comments": 1,
@@ -163,8 +163,8 @@
      "version": "1.4.9",
      "author": "Fu-Jie",
      "description": "基于 AntV Infographic 的智能信息图生成插件。支持多种专业模板，自动图标匹配，并提供 SVG/PNG 下载功能。",
-      "downloads": 43,
-      "views": 702,
+      "downloads": 45,
+      "views": 718,
      "upvotes": 6,
      "saves": 0,
      "comments": 0,
@@ -179,8 +179,8 @@
      "version": "0.9.1",
      "author": "Fu-Jie",
      "description": "智能分析文本内容,生成交互式思维导图,帮助用户结构化和可视化知识。",
-      "downloads": 24,
-      "views": 406,
+      "downloads": 27,
+      "views": 417,
      "upvotes": 3,
      "saves": 1,
      "comments": 0,
@@ -195,8 +195,8 @@
      "version": "0.2.4",
      "author": "Fu-Jie",
      "description": "快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。",
-      "downloads": 16,
-      "views": 452,
+      "downloads": 19,
+      "views": 471,
      "upvotes": 5,
      "saves": 1,
      "comments": 0,
@@ -207,17 +207,17 @@
    {
      "title": "异步上下文压缩",
      "slug": "异步上下文压缩_5c0617cb",
-      "type": "filter",
-      "version": "1.2.0",
+      "type": "action",
+      "version": "1.2.1",
      "author": "Fu-Jie",
      "description": "通过智能摘要和消息压缩，降低长对话的 token 消耗，同时保持对话连贯性。",
      "downloads": 14,
-      "views": 374,
+      "views": 401,
      "upvotes": 5,
      "saves": 1,
      "comments": 0,
      "created_at": "2025-11-08",
-      "updated_at": "2026-01-19",
+      "updated_at": "2026-01-20",
      "url": "https://openwebui.com/posts/异步上下文压缩_5c0617cb"
    },
    {
@@ -227,8 +227,8 @@
      "version": "1.0.0",
      "author": "Fu-Jie",
      "description": "全方位的思维透镜 —— 从背景全景到逻辑脉络，从深度洞察到行动路径。",
-      "downloads": 6,
-      "views": 261,
+      "downloads": 8,
+      "views": 276,
      "upvotes": 3,
      "saves": 1,
      "comments": 0,
@@ -236,6 +236,22 @@
      "updated_at": "2026-01-08",
      "url": "https://openwebui.com/posts/精读_99830b0f"
    },
+    {
+      "title": "📂 Folder Memory – Auto-Evolving Project Context",
+      "slug": "folder_memory_auto_evolving_project_context_4a9875b2",
+      "type": "filter",
+      "version": "0.1.0",
+      "author": "Fu-Jie",
+      "description": "Automatically extracts project rules from conversations and injects them into the folder's system prompt.",
+      "downloads": 6,
+      "views": 162,
+      "upvotes": 1,
+      "saves": 2,
+      "comments": 0,
+      "created_at": "2026-01-20",
+      "updated_at": "2026-01-20",
+      "url": "https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2"
+    },
    {
      "title": "Review of Claude Haiku 4.5",
      "slug": "review_of_claude_haiku_45_41b0db39",
@@ -244,7 +260,7 @@
      "author": "",
      "description": "",
      "downloads": 0,
-      "views": 62,
+      "views": 71,
      "upvotes": 1,
      "saves": 0,
      "comments": 0,
@@ -260,7 +276,7 @@
      "author": "",
      "description": "",
      "downloads": 0,
-      "views": 1208,
+      "views": 1223,
      "upvotes": 12,
      "saves": 8,
      "comments": 2,
@@ -274,11 +290,11 @@
    "name": "Fu-Jie",
    "profile_url": "https://openwebui.com/u/Fu-Jie",
    "profile_image": "https://community.s3.openwebui.com/uploads/users/b15d1348-4347-42b4-b815-e053342d6cb0/profile_d9510745-4bd4-4f8f-a997-4a21847d9300.webp",
-    "followers": 137,
+    "followers": 143,
    "following": 2,
-    "total_points": 134,
-    "post_points": 118,
+    "total_points": 135,
+    "post_points": 119,
    "comment_points": 16,
-    "contributions": 25
+    "contributions": 26
  }
 }
--- a/docs/community-stats.md
+++ b/docs/community-stats.md
@@ -1,41 +1,42 @@
 # 📊 OpenWebUI Community Stats Report

-> 📅 Updated: 2026-01-20 17:15
+> 📅 Updated: 2026-01-21 21:22

 ## 📈 Overview

 | Metric | Value |
 |------|------|
-| 📝 Total Posts | 16 |
-| ⬇️ Total Downloads | 1878 |
-| 👁️ Total Views | 22027 |
-| 👍 Total Upvotes | 120 |
-| 💾 Total Saves | 147 |
+| 📝 Total Posts | 17 |
+| ⬇️ Total Downloads | 1974 |
+| 👁️ Total Views | 22983 |
+| 👍 Total Upvotes | 121 |
+| 💾 Total Saves | 153 |
 | 💬 Total Comments | 24 |

 ## 📂 By Type

 - **filter**: 1
- **action**: 13
+- **action**: 14
 - **unknown**: 2

 ## 📋 Posts List

 | Rank | Title | Type | Version | Downloads | Views | Upvotes | Saves | Updated |
 |:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
-| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 550 | 4933 | 15 | 30 | 2026-01-17 |
-| 2 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 281 | 2651 | 14 | 21 | 2026-01-18 |
-| 3 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 213 | 835 | 4 | 6 | 2026-01-07 |
-| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.2.0 | 189 | 2048 | 9 | 22 | 2026-01-19 |
-| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 168 | 1449 | 8 | 17 | 2026-01-17 |
-| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 143 | 2386 | 10 | 12 | 2026-01-17 |
-| 7 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.2.4 | 95 | 2228 | 10 | 17 | 2026-01-19 |
-| 8 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 71 | 703 | 4 | 7 | 2026-01-08 |
-| 9 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 65 | 1329 | 11 | 3 | 2026-01-17 |
-| 10 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 43 | 702 | 6 | 0 | 2026-01-17 |
-| 11 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 24 | 406 | 3 | 1 | 2026-01-17 |
-| 12 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 16 | 452 | 5 | 1 | 2026-01-17 |
-| 13 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.2.0 | 14 | 374 | 5 | 1 | 2026-01-19 |
-| 14 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 6 | 261 | 3 | 1 | 2026-01-08 |
-| 15 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 62 | 1 | 0 | 2026-01-14 |
-| 16 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 1208 | 12 | 8 | 2026-01-10 |
+| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 562 | 5047 | 15 | 31 | 2026-01-17 |
+| 2 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 298 | 2777 | 14 | 22 | 2026-01-18 |
+| 3 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 227 | 897 | 4 | 6 | 2026-01-07 |
+| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.2.1 | 197 | 2137 | 9 | 23 | 2026-01-20 |
+| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 179 | 1509 | 8 | 18 | 2026-01-17 |
+| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 147 | 2434 | 10 | 12 | 2026-01-17 |
+| 7 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.2.4 | 100 | 2311 | 10 | 17 | 2026-01-19 |
+| 8 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 76 | 740 | 4 | 7 | 2026-01-08 |
+| 9 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 69 | 1392 | 11 | 3 | 2026-01-17 |
+| 10 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 45 | 718 | 6 | 0 | 2026-01-17 |
+| 11 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 27 | 417 | 3 | 1 | 2026-01-17 |
+| 12 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 19 | 471 | 5 | 1 | 2026-01-17 |
+| 13 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.2.1 | 14 | 401 | 5 | 1 | 2026-01-20 |
+| 14 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 8 | 276 | 3 | 1 | 2026-01-08 |
+| 15 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter | 0.1.0 | 6 | 162 | 1 | 2 | 2026-01-20 |
+| 16 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 71 | 1 | 0 | 2026-01-14 |
+| 17 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 1223 | 12 | 8 | 2026-01-10 |
--- a/docs/community-stats.zh.md
+++ b/docs/community-stats.zh.md
@@ -1,41 +1,42 @@
 # 📊 OpenWebUI 社区统计报告

-> 📅 更新时间: 2026-01-20 17:15
+> 📅 更新时间: 2026-01-21 21:22

 ## 📈 总览

 | 指标 | 数值 |
 |------|------|
-| 📝 发布数量 | 16 |
-| ⬇️ 总下载量 | 1878 |
-| 👁️ 总浏览量 | 22027 |
-| 👍 总点赞数 | 120 |
-| 💾 总收藏数 | 147 |
+| 📝 发布数量 | 17 |
+| ⬇️ 总下载量 | 1974 |
+| 👁️ 总浏览量 | 22983 |
+| 👍 总点赞数 | 121 |
+| 💾 总收藏数 | 153 |
 | 💬 总评论数 | 24 |

 ## 📂 按类型分类

 - **filter**: 1
- **action**: 13
+- **action**: 14
 - **unknown**: 2

 ## 📋 发布列表

 | 排名 | 标题 | 类型 | 版本 | 下载 | 浏览 | 点赞 | 收藏 | 更新日期 |
 |:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
-| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 550 | 4933 | 15 | 30 | 2026-01-17 |
-| 2 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 281 | 2651 | 14 | 21 | 2026-01-18 |
-| 3 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 213 | 835 | 4 | 6 | 2026-01-07 |
-| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.2.0 | 189 | 2048 | 9 | 22 | 2026-01-19 |
-| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 168 | 1449 | 8 | 17 | 2026-01-17 |
-| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 143 | 2386 | 10 | 12 | 2026-01-17 |
-| 7 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.2.4 | 95 | 2228 | 10 | 17 | 2026-01-19 |
-| 8 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 71 | 703 | 4 | 7 | 2026-01-08 |
-| 9 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 65 | 1329 | 11 | 3 | 2026-01-17 |
-| 10 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 43 | 702 | 6 | 0 | 2026-01-17 |
-| 11 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 24 | 406 | 3 | 1 | 2026-01-17 |
-| 12 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 16 | 452 | 5 | 1 | 2026-01-17 |
-| 13 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.2.0 | 14 | 374 | 5 | 1 | 2026-01-19 |
-| 14 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 6 | 261 | 3 | 1 | 2026-01-08 |
-| 15 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 62 | 1 | 0 | 2026-01-14 |
-| 16 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 1208 | 12 | 8 | 2026-01-10 |
+| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 562 | 5047 | 15 | 31 | 2026-01-17 |
+| 2 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 298 | 2777 | 14 | 22 | 2026-01-18 |
+| 3 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 227 | 897 | 4 | 6 | 2026-01-07 |
+| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.2.1 | 197 | 2137 | 9 | 23 | 2026-01-20 |
+| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 179 | 1509 | 8 | 18 | 2026-01-17 |
+| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 147 | 2434 | 10 | 12 | 2026-01-17 |
+| 7 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.2.4 | 100 | 2311 | 10 | 17 | 2026-01-19 |
+| 8 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 76 | 740 | 4 | 7 | 2026-01-08 |
+| 9 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 69 | 1392 | 11 | 3 | 2026-01-17 |
+| 10 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 45 | 718 | 6 | 0 | 2026-01-17 |
+| 11 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 27 | 417 | 3 | 1 | 2026-01-17 |
+| 12 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 19 | 471 | 5 | 1 | 2026-01-17 |
+| 13 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.2.1 | 14 | 401 | 5 | 1 | 2026-01-20 |
+| 14 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 8 | 276 | 3 | 1 | 2026-01-08 |
+| 15 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter | 0.1.0 | 6 | 162 | 1 | 2 | 2026-01-20 |
+| 16 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 71 | 1 | 0 | 2026-01-14 |
+| 17 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 1223 | 12 | 8 | 2026-01-10 |
--- a/docs/plugins/filters/async-context-compression.md
+++ b/docs/plugins/filters/async-context-compression.md
@@ -1,7 +1,7 @@
 # Async Context Compression

 <span class="category-badge filter">Filter</span>
-<span class="version-badge">v1.2.1</span>
+<span class="version-badge">v1.2.2</span>

 Reduces token consumption in long conversations through intelligent summarization while maintaining conversational coherence.

--- a/docs/plugins/filters/async-context-compression.zh.md
+++ b/docs/plugins/filters/async-context-compression.zh.md
@@ -1,7 +1,7 @@
 # Async Context Compression（异步上下文压缩）

 <span class="category-badge filter">Filter</span>
-<span class="version-badge">v1.2.1</span>
+<span class="version-badge">v1.2.2</span>

 通过智能摘要减少长对话的 token 消耗，同时保持对话连贯。

--- a/docs/plugins/filters/folder-memory.md
+++ b/docs/plugins/filters/folder-memory.md
@@ -0,0 +1,57 @@
+# Folder Memory
+ 
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.1.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
+
+---
+
+### 📌 What's new in 0.1.0
+- **Initial Release**: Automated "Project Rules" management for OpenWebUI folders.
+- **Folder-Level Persistence**: Automatically updates folder system prompts with extracted rules.
+- **Optimized Performance**: Runs asynchronously and supports `PRIORITY` configuration for seamless integration with other filters.
+
+---
+
+**Folder Memory** is an intelligent context filter plugin for OpenWebUI. It automatically extracts consistent "Project Rules" from ongoing conversations within a folder and injects them back into the folder's system prompt.
+
+This ensures that all future conversations within that folder share the same evolved context and rules, without manual updates.
+
+## Features
+
+- **Automatic Extraction**: Analyzes chat history every N messages to extract project rules.
+- **Non-destructive Injection**: Updates only the specific "Project Rules" block in the system prompt, preserving other instructions.
+- **Async Processing**: Runs in the background without blocking the user's chat experience.
+- **ORM Integration**: Directly updates folder data using OpenWebUI's internal models for reliability.
+
+## Prerequisites
+
+- **Conversations must occur inside a folder.** This plugin only triggers when a chat belongs to a folder (i.e., you need to create a folder in OpenWebUI and start a conversation within it).
+
+## Installation
+
+1. Copy `folder_memory.py` to your OpenWebUI `plugins/filters/` directory (or upload via Admin UI).
+2. Enable the filter in your **Settings** -> **Filters**.
+3. (Optional) Configure the triggering threshold (default: every 10 messages).
+
+## Configuration (Valves)
+
+| Valve | Default | Description |
+| :--- | :--- | :--- |
+| `PRIORITY` | `20` | Priority level for the filter operations. |
+| `MESSAGE_TRIGGER_COUNT` | `10` | The number of messages required to trigger a rule analysis. |
+| `MODEL_ID` | `""` | The model used to generate rules. If empty, uses the current chat model. |
+| `RULES_BLOCK_TITLE` | `## 📂 Project Rules` | The title displayed above the injected rules block. |
+| `SHOW_DEBUG_LOG` | `False` | Show detailed debug logs in the browser console. |
+| `UPDATE_ROOT_FOLDER` | `False` | If enabled, finds and updates the root folder rules instead of the current subfolder. |
+
+## How It Works
+
+![Folder Memory Demo](https://raw.githubusercontent.com/Fu-Jie/awesome-openwebui/main/plugins/filters/folder-memory/folder-memory-demo.png)
+
+1. **Trigger**: When a conversation reaches `MESSAGE_TRIGGER_COUNT` (e.g., 10, 20 messages).
+2. **Analysis**: The plugin sends the recent conversation + existing rules to the LLM.
+3. **Synthesis**: The LLM merges new insights with old rules, removing obsolete ones.
+4. **Update**: The new rule set replaces the `<!-- OWUI_PROJECT_RULES_START -->` block in the folder's system prompt.
+
+## Roadmap
+
+See [ROADMAP](https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/filters/folder-memory/ROADMAP.md) for future plans, including "Project Knowledge" collection.
--- a/docs/plugins/filters/folder-memory.zh.md
+++ b/docs/plugins/filters/folder-memory.zh.md
@@ -0,0 +1,57 @@
+# 文件夹记忆 (Folder Memory)
+ 
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.1.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
+
+---
+
+### 📌 0.1.0 版本特性
+- **首个版本发布**：专注于自动化的“项目规则”管理。
+- **文件夹级持久化**：自动将提取的规则回写到文件夹系统提示词中。
+- **性能优化**：采用异步处理机制，并支持 `PRIORITY` 配置，确保与其他过滤器（如上下文压缩）完美协作。
+
+---
+
+**文件夹记忆 (Folder Memory)** 是一个 OpenWebUI 的智能上下文过滤器插件。它能自动从文件夹内的对话中提取一致性的“项目规则”，并将其回写到文件夹的系统提示词中。
+
+这确保了该文件夹内的所有未来对话都能共享相同的进化上下文和规则，无需手动更新。
+
+## 功能特性
+
+- **自动提取**：每隔 N 条消息分析一次聊天记录，提取项目规则。
+- **无损注入**：仅更新系统提示词中的特定“项目规则”块，保留其他指令。
+- **异步处理**：在后台运行，不阻塞用户的聊天体验。
+- **ORM 集成**：直接使用 OpenWebUI 的内部模型更新文件夹数据，确保可靠性。
+
+## 前置条件
+
+- **对话必须在文件夹内进行。** 此插件仅在聊天属于某个文件夹时触发（即您需要先在 OpenWebUI 中创建一个文件夹，并在其内部开始对话）。
+
+## 安装指南
+
+1. 将 `folder_memory.py` (或中文版 `folder_memory_cn.py`) 复制到 OpenWebUI 的 `plugins/filters/` 目录（或通过管理员 UI 上传）。
+2. 在 **设置** -> **过滤器** 中启用该插件。
+3. （可选）配置触发阈值（默认：每 10 条消息）。
+
+## 配置 (Valves)
+
+| 参数 | 默认值 | 说明 |
+| :--- | :--- | :--- |
+| `PRIORITY` | `20` | 过滤器操作的优先级。 |
+| `MESSAGE_TRIGGER_COUNT` | `10` | 触发规则分析的消息数量阈值。 |
+| `MODEL_ID` | `""` | 用于生成规则的模型 ID。若为空，则使用当前对话模型。 |
+| `RULES_BLOCK_TITLE` | `## 📂 项目规则` | 显示在注入规则块上方的标题。 |
+| `SHOW_DEBUG_LOG` | `False` | 在浏览器控制台显示详细调试日志。 |
+| `UPDATE_ROOT_FOLDER` | `False` | 如果启用，将向上查找并更新根文件夹的规则，而不是当前子文件夹。 |
+
+## 工作原理
+
+![Folder Memory Demo](https://raw.githubusercontent.com/Fu-Jie/awesome-openwebui/main/plugins/filters/folder-memory/folder-memory-demo.png)
+
+1. **触发**：当对话达到 `MESSAGE_TRIGGER_COUNT`（例如 10、20 条消息）时。
+2. **分析**：插件将最近的对话 + 现有规则发送给 LLM。
+3. **综合**：LLM 将新见解与旧规则合并，移除过时的规则。
+4. **更新**：新的规则集替换文件夹系统提示词中的 `<!-- OWUI_PROJECT_RULES_START -->` 块。
+
+## 路线图
+
+查看 [ROADMAP](https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/filters/folder-memory/ROADMAP.md) 了解未来计划，包括“项目知识”收集功能。
--- a/docs/plugins/filters/index.md
+++ b/docs/plugins/filters/index.md
@@ -22,7 +22,7 @@ Filters act as middleware in the message pipeline:

    Reduces token consumption in long conversations through intelligent summarization while maintaining coherence.

-    **Version:** 1.2.1
+    **Version:** 1.2.2

    [:octicons-arrow-right-24: Documentation](async-context-compression.md)

@@ -36,7 +36,15 @@ Filters act as middleware in the message pipeline:

    [:octicons-arrow-right-24: Documentation](context-enhancement.md)

+-   :material-folder-refresh:{ .lg .middle } **Folder Memory**

+    ---
+
+    Automatically extracts consistent "Project Rules" from ongoing conversations within a folder and injects them back into the folder's system prompt.
+
+    **Version:** 0.1.0
+
+    [:octicons-arrow-right-24: Documentation](folder-memory.md)

 -   :material-format-paint:{ .lg .middle } **Markdown Normalizer**

--- a/docs/plugins/filters/index.zh.md
+++ b/docs/plugins/filters/index.zh.md
@@ -22,7 +22,7 @@ Filter 充当消息管线中的中间件：

    通过智能总结减少长对话的 token 消耗，同时保持连贯性。

-    **版本：** 1.2.1
+    **版本：** 1.2.2

    [:octicons-arrow-right-24: 查看文档](async-context-compression.md)

@@ -36,7 +36,15 @@ Filter 充当消息管线中的中间件：

    [:octicons-arrow-right-24: 查看文档](context-enhancement.md)

+-   :material-folder-refresh:{ .lg .middle } **Folder Memory**

+    ---
+
+    自动从文件夹内的对话中提取一致性的“项目规则”，并将其回写到文件夹的系统提示词中。
+
+    **版本：** 0.1.0
+
+    [:octicons-arrow-right-24: 查看文档](folder-memory.zh.md)

 -   :material-format-paint:{ .lg .middle } **Markdown Normalizer**

--- a/plugins/filters/async-context-compression/README.md
+++ b/plugins/filters/async-context-compression/README.md
@@ -1,9 +1,13 @@
 # Async Context Compression Filter

-**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 1.2.1 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 1.2.2 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT

 This filter reduces token consumption in long conversations through intelligent summarization and message compression while keeping conversations coherent.

+## What's new in 1.2.2
+- **Critical Fix**: Resolved `TypeError: 'str' object is not callable` caused by variable name conflict in logging function.
+- **Compatibility**: Enhanced `params` handling to support Pydantic objects, improving compatibility with different OpenWebUI versions.
+
 ## What's new in 1.2.1

 - **Smart Configuration**: Automatically detects base model settings for custom models and adds `summary_model_max_context` for independent summary limits.
--- a/plugins/filters/async-context-compression/README_CN.md
+++ b/plugins/filters/async-context-compression/README_CN.md
@@ -1,11 +1,15 @@
 # 异步上下文压缩过滤器

-**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 1.2.1 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 1.2.2 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT

 > **重要提示**：为了确保所有过滤器的可维护性和易用性，每个过滤器都应附带清晰、完整的文档，以确保其功能、配置和使用方法得到充分说明。

 本过滤器通过智能摘要和消息压缩技术，在保持对话连贯性的同时，显著降低长对话的 Token 消耗。

+## 1.2.2 版本更新
+- **严重错误修复**: 解决了因日志函数变量名冲突导致的 `TypeError: 'str' object is not callable` 错误。
+- **兼容性增强**: 改进了 `params` 处理逻辑以支持 Pydantic 对象，提高了对不同 OpenWebUI 版本的兼容性。
+
 ## 1.2.1 版本更新

 - **智能配置增强**: 自动检测自定义模型的基础模型配置，并新增 `summary_model_max_context` 参数以独立控制摘要模型的上下文限制。
--- a/plugins/filters/async-context-compression/async_context_compression.py
+++ b/plugins/filters/async-context-compression/async_context_compression.py
@@ -5,7 +5,7 @@ author: Fu-Jie
 author_url: https://github.com/Fu-Jie/awesome-openwebui
 funding_url: https://github.com/open-webui
 description: Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.
-version: 1.2.1
+version: 1.2.2
 openwebui_id: b1655bc8-6de9-4cad-8cb5-a6f7829a02ce
 license: MIT

@@ -839,7 +839,7 @@ class Filter:
        except Exception as e:
            logger.error(f"Error emitting debug log: {e}")

-    async def _log(self, message: str, type: str = "info", event_call=None):
+    async def _log(self, message: str, log_type: str = "info", event_call=None):
        """Unified logging to both backend (print) and frontend (console.log)"""
        # Backend logging
        if self.valves.debug_mode:
@@ -849,11 +849,11 @@ class Filter:
        if self.valves.show_debug_log and event_call:
            try:
                css = "color: #3b82f6;"  # Blue default
-                if type == "error":
+                if log_type == "error":
                    css = "color: #ef4444; font-weight: bold;"  # Red
-                elif type == "warning":
+                elif log_type == "warning":
                    css = "color: #f59e0b;"  # Orange
-                elif type == "success":
+                elif log_type == "success":
                    css = "color: #10b981; font-weight: bold;"  # Green

                # Clean message for frontend: remove separators and extra newlines
@@ -999,6 +999,7 @@ class Filter:
        # 2. For base models: check messages for role='system'
        system_prompt_content = None

+        # Try to get from DB (custom model)
        # Try to get from DB (custom model)
        try:
            model_id = body.get("model")
@@ -1026,12 +1027,17 @@ class Filter:
                            # Handle case where params is a JSON string
                            if isinstance(params, str):
                                params = json.loads(params)
+                            # Convert Pydantic model to dict if needed
+                            elif hasattr(params, "model_dump"):
+                                params = params.model_dump()
+                            elif hasattr(params, "dict"):
+                                params = params.dict()

-                            # Handle dict or Pydantic object
+                            # Now params should be a dict
                            if isinstance(params, dict):
                                system_prompt_content = params.get("system")
                            else:
-                                # Assume Pydantic model or object
+                                # Fallback: try getattr
                                system_prompt_content = getattr(params, "system", None)

                            if system_prompt_content:
@@ -1050,7 +1056,7 @@ class Filter:
                            if self.valves.show_debug_log and __event_call__:
                                await self._log(
                                    f"[Inlet] ❌ Failed to parse model params: {e}",
-                                    type="error",
+                                    log_type="error",
                                    event_call=__event_call__,
                                )

@@ -1071,7 +1077,7 @@ class Filter:
            if self.valves.show_debug_log and __event_call__:
                await self._log(
                    f"[Inlet] ❌ Error fetching system prompt from DB: {e}",
-                    type="error",
+                    log_type="error",
                    event_call=__event_call__,
                )
            if self.valves.debug_mode:
@@ -1125,7 +1131,7 @@ class Filter:
        if not chat_id:
            await self._log(
                "[Inlet] ❌ Missing chat_id in metadata, skipping compression",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )
            return body
@@ -1154,7 +1160,7 @@ class Filter:
                else:
                    await self._log(
                        f"[Inlet] ⚠️ Invalid Model Configs (Raw: '{raw_config}'): No valid configs parsed. Expected format: 'model_id:threshold:max_context'",
-                        type="warning",
+                        log_type="warning",
                        event_call=__event_call__,
                    )
            else:
@@ -1258,7 +1264,7 @@ class Filter:
            if total_tokens > max_context_tokens:
                await self._log(
                    f"[Inlet] ⚠️ Candidate prompt ({total_tokens} Tokens) exceeds limit ({max_context_tokens}). Reducing history...",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1395,7 +1401,7 @@ class Filter:

            await self._log(
                f"[Inlet] Applied summary: {system_info} + Head({len(head_messages)} msg, {head_tokens}t) + Summary({summary_tokens}t) + Tail({len(tail_messages)} msg, {tail_tokens}t) = Total({total_section_tokens}t)",
-                type="success",
+                log_type="success",
                event_call=__event_call__,
            )

@@ -1455,7 +1461,7 @@ class Filter:
            if total_tokens > max_context_tokens:
                await self._log(
                    f"[Inlet] ⚠️ Original messages ({total_tokens} Tokens) exceed limit ({max_context_tokens}). Reducing history...",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1523,7 +1529,7 @@ class Filter:
        if not chat_id:
            await self._log(
                "[Outlet] ❌ Missing chat_id in metadata, skipping compression",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )
            return body
@@ -1625,7 +1631,7 @@ class Filter:
            if current_tokens >= compression_threshold_tokens:
                await self._log(
                    f"[🔍 Background Calculation] ⚡ Compression threshold triggered (Token: {current_tokens} >= {compression_threshold_tokens})",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1648,7 +1654,7 @@ class Filter:
        except Exception as e:
            await self._log(
                f"[🔍 Background Calculation] ❌ Error: {str(e)}",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )

@@ -1687,7 +1693,7 @@ class Filter:
                target_compressed_count = max(0, len(messages) - self.valves.keep_last)
                await self._log(
                    f"[🤖 Async Summary Task] ⚠️ target_compressed_count is None, estimating: {target_compressed_count}",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1734,7 +1740,7 @@ class Filter:
            if not summary_model_id:
                await self._log(
                    "[🤖 Async Summary Task] ⚠️ Summary model does not exist, skipping compression",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )
                return
@@ -1765,7 +1771,7 @@ class Filter:
                excess_tokens = estimated_input_tokens - max_context_tokens
                await self._log(
                    f"[🤖 Async Summary Task] ⚠️ Middle messages ({middle_tokens} Tokens) + Buffer exceed summary model limit ({max_context_tokens}), need to remove approx {excess_tokens} Tokens",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1822,7 +1828,7 @@ class Filter:
            if not new_summary:
                await self._log(
                    "[🤖 Async Summary Task] ⚠️ Summary generation returned empty result, skipping save",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )
                return
@@ -1851,7 +1857,7 @@ class Filter:

            await self._log(
                f"[🤖 Async Summary Task] ✅ Complete! New summary length: {len(new_summary)} characters",
-                type="success",
+                log_type="success",
                event_call=__event_call__,
            )
            await self._log(
@@ -1957,14 +1963,14 @@ class Filter:
                except Exception as e:
                    await self._log(
                        f"[Status] Error calculating tokens: {e}",
-                        type="error",
+                        log_type="error",
                        event_call=__event_call__,
                    )

        except Exception as e:
            await self._log(
                f"[🤖 Async Summary Task] ❌ Error: {str(e)}",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )

@@ -2066,7 +2072,7 @@ Based on the content above, generate the summary:
        if not model:
            await self._log(
                "[🤖 LLM Call] ⚠️ Summary model does not exist, skipping summary generation",
-                type="warning",
+                log_type="warning",
                event_call=__event_call__,
            )
            return ""
@@ -2133,7 +2139,7 @@ Based on the content above, generate the summary:

            await self._log(
                f"[🤖 LLM Call] ✅ Successfully received summary",
-                type="success",
+                log_type="success",
                event_call=__event_call__,
            )

@@ -2154,7 +2160,7 @@ Based on the content above, generate the summary:

            await self._log(
                f"[🤖 LLM Call] ❌ {error_message}",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )

--- a/plugins/filters/async-context-compression/async_context_compression_cn.py
+++ b/plugins/filters/async-context-compression/async_context_compression_cn.py
@@ -5,7 +5,7 @@ author: Fu-Jie
 author_url: https://github.com/Fu-Jie/awesome-openwebui
 funding_url: https://github.com/open-webui
 description: 通过智能摘要和消息压缩，降低长对话的 token 消耗，同时保持对话连贯性。
-version: 1.2.1
+version: 1.2.2
 openwebui_id: 5c0617cb-a9e4-4bd6-a440-d276534ebd18
 license: MIT

@@ -787,7 +787,7 @@ class Filter:
        except Exception as e:
            print(f"Error emitting debug log: {e}")

-    async def _log(self, message: str, type: str = "info", event_call=None):
+    async def _log(self, message: str, log_type: str = "info", event_call=None):
        """统一日志输出到后端 (print) 和前端 (console.log)"""
        # 后端日志
        if self.valves.debug_mode:
@@ -797,11 +797,11 @@ class Filter:
        if self.valves.show_debug_log and event_call:
            try:
                css = "color: #3b82f6;"  # 默认蓝色
-                if type == "error":
+                if log_type == "error":
                    css = "color: #ef4444; font-weight: bold;"  # 红色
-                elif type == "warning":
+                elif log_type == "warning":
                    css = "color: #f59e0b;"  # 橙色
-                elif type == "success":
+                elif log_type == "success":
                    css = "color: #10b981; font-weight: bold;"  # 绿色

                # 清理前端消息：移除分隔符和多余换行
@@ -948,12 +948,17 @@ class Filter:
                            # 处理 params 是 JSON 字符串的情况
                            if isinstance(params, str):
                                params = json.loads(params)
+                            # 转换 Pydantic 模型为字典
+                            elif hasattr(params, "model_dump"):
+                                params = params.model_dump()
+                            elif hasattr(params, "dict"):
+                                params = params.dict()

-                            # 处理字典或 Pydantic 对象
+                            # 处理字典
                            if isinstance(params, dict):
                                system_prompt_content = params.get("system")
                            else:
-                                # 假设是 Pydantic 模型或对象
+                                # 回退：尝试 getattr
                                system_prompt_content = getattr(params, "system", None)

                            if system_prompt_content:
@@ -972,7 +977,7 @@ class Filter:
                            if self.valves.show_debug_log and __event_call__:
                                await self._log(
                                    f"[Inlet] ❌ 解析模型参数失败: {e}",
-                                    type="error",
+                                    log_type="error",
                                    event_call=__event_call__,
                                )

@@ -986,7 +991,7 @@ class Filter:
                    if self.valves.show_debug_log and __event_call__:
                        await self._log(
                            f"[Inlet] ❌ 数据库中未找到模型",
-                            type="warning",
+                            log_type="warning",
                            event_call=__event_call__,
                        )

@@ -994,7 +999,7 @@ class Filter:
            if self.valves.show_debug_log and __event_call__:
                await self._log(
                    f"[Inlet] ❌ 从数据库获取系统提示词错误: {e}",
-                    type="error",
+                    log_type="error",
                    event_call=__event_call__,
                )
            if self.valves.debug_mode:
@@ -1048,7 +1053,7 @@ class Filter:
        if not chat_id:
            await self._log(
                "[Inlet] ❌ metadata 中缺少 chat_id，跳过压缩",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )
            return body
@@ -1154,7 +1159,7 @@ class Filter:
            if total_tokens > max_context_tokens:
                await self._log(
                    f"[Inlet] ⚠️ 候选提示词 ({total_tokens} Tokens) 超过上限 ({max_context_tokens})。正在缩减历史记录...",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1290,7 +1295,7 @@ class Filter:

            await self._log(
                f"[Inlet] 应用摘要: {system_info} + Head({len(head_messages)} 条, {head_tokens}t) + Summary({summary_tokens}t) + Tail({len(tail_messages)} 条, {tail_tokens}t) = Total({total_section_tokens}t)",
-                type="success",
+                log_type="success",
                event_call=__event_call__,
            )

@@ -1350,7 +1355,7 @@ class Filter:
            if total_tokens > max_context_tokens:
                await self._log(
                    f"[Inlet] ⚠️ 原始消息 ({total_tokens} Tokens) 超过上限 ({max_context_tokens})。正在缩减历史记录...",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1420,7 +1425,7 @@ class Filter:
        if not chat_id:
            await self._log(
                "[Outlet] ❌ metadata 中缺少 chat_id，跳过压缩",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )
            return body
@@ -1486,7 +1491,7 @@ class Filter:
            if current_tokens >= compression_threshold_tokens:
                await self._log(
                    f"[🔍 后台计算] ⚡ 触发压缩阈值 (Token: {current_tokens} >= {compression_threshold_tokens})",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1509,7 +1514,7 @@ class Filter:
        except Exception as e:
            await self._log(
                f"[🔍 后台计算] ❌ 错误: {str(e)}",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )

@@ -1546,7 +1551,7 @@ class Filter:
                target_compressed_count = max(0, len(messages) - self.valves.keep_last)
                await self._log(
                    f"[🤖 异步摘要任务] ⚠️ target_compressed_count 为 None，进行估算: {target_compressed_count}",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1593,7 +1598,7 @@ class Filter:
            if not summary_model_id:
                await self._log(
                    "[🤖 异步摘要任务] ⚠️ 摘要模型不存在，跳过压缩",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )
                return
@@ -1624,7 +1629,7 @@ class Filter:
                excess_tokens = estimated_input_tokens - max_context_tokens
                await self._log(
                    f"[🤖 异步摘要任务] ⚠️ 中间消息 ({middle_tokens} Tokens) + 缓冲超过摘要模型上限 ({max_context_tokens})，需要移除约 {excess_tokens} Token",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )

@@ -1681,7 +1686,7 @@ class Filter:
            if not new_summary:
                await self._log(
                    "[🤖 异步摘要任务] ⚠️ 摘要生成返回空结果，跳过保存",
-                    type="warning",
+                    log_type="warning",
                    event_call=__event_call__,
                )
                return
@@ -1710,7 +1715,7 @@ class Filter:

            await self._log(
                f"[🤖 异步摘要任务] ✅ 完成！新摘要长度: {len(new_summary)} 字符",
-                type="success",
+                log_type="success",
                event_call=__event_call__,
            )
            await self._log(
@@ -1821,14 +1826,14 @@ class Filter:
                except Exception as e:
                    await self._log(
                        f"[Status] 计算 Token 错误: {e}",
-                        type="error",
+                        log_type="error",
                        event_call=__event_call__,
                    )

        except Exception as e:
            await self._log(
                f"[🤖 异步摘要任务] ❌ 错误: {str(e)}",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )

@@ -1928,7 +1933,7 @@ class Filter:
        if not model:
            await self._log(
                "[🤖 LLM 调用] ⚠️ 摘要模型不存在，跳过摘要生成",
-                type="warning",
+                log_type="warning",
                event_call=__event_call__,
            )
            return ""
@@ -1995,7 +2000,7 @@ class Filter:

            await self._log(
                f"[🤖 LLM 调用] ✅ 成功接收摘要",
-                type="success",
+                log_type="success",
                event_call=__event_call__,
            )

@@ -2016,7 +2021,7 @@ class Filter:

            await self._log(
                f"[🤖 LLM 调用] ❌ {error_message}",
-                type="error",
+                log_type="error",
                event_call=__event_call__,
            )

--- a/plugins/filters/folder-memory/README.md
+++ b/plugins/filters/folder-memory/README.md
@@ -0,0 +1,60 @@
+# Folder Memory
+
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.1.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
+
+---
+
+### 📌 What's new in 0.1.0
+- **Initial Release**: Automated "Project Rules" management for OpenWebUI folders.
+- **Folder-Level Persistence**: Automatically updates folder system prompts with extracted rules.
+- **Optimized Performance**: Runs asynchronously and supports `PRIORITY` configuration for seamless integration with other filters.
+
+---
+
+**Folder Memory** is an intelligent context filter plugin for OpenWebUI. It automatically extracts consistent "Project Rules" from ongoing conversations within a folder and injects them back into the folder's system prompt.
+
+## ✨ Features
+
+- **Automatic Extraction**: Analyzes chat history every N messages to extract project rules.
+- **Non-destructive Injection**: Updates only the specific "Project Rules" block in the system prompt, preserving other instructions.
+- **Async Processing**: Runs in the background without blocking the user's chat experience.
+- **ORM Integration**: Directly updates folder data using OpenWebUI's internal models for reliability.
+
+## ⚠️ Prerequisites
+
+- **Conversations must occur inside a folder.** This plugin only triggers when a chat belongs to a folder (i.e., you need to create a folder in OpenWebUI and start a conversation within it).
+
+## 📦 Installation
+
+1. Copy `folder_memory.py` to your OpenWebUI `plugins/filters/` directory (or upload via Admin UI).
+2. Enable the filter in your **Settings** -> **Filters**.
+3. (Optional) Configure the triggering threshold (default: every 10 messages).
+
+## ⚙️ Configuration (Valves)
+
+| Valve | Default | Description |
+| :--- | :--- | :--- |
+| `PRIORITY` | `20` | Priority level for the filter operations. |
+| `MESSAGE_TRIGGER_COUNT` | `10` | The number of messages required to trigger a rule analysis. |
+| `MODEL_ID` | `""` | The model used to generate rules. If empty, uses the current chat model. |
+| `RULES_BLOCK_TITLE` | `## 📂 Project Rules` | The title displayed above the injected rules block. |
+| `SHOW_DEBUG_LOG` | `False` | Show detailed debug logs in the browser console. |
+| `UPDATE_ROOT_FOLDER` | `False` | If enabled, finds and updates the root folder rules instead of the current subfolder. |
+
+## 🛠️ How It Works
+
+![Folder Memory Demo](https://raw.githubusercontent.com/Fu-Jie/awesome-openwebui/main/plugins/filters/folder-memory/folder-memory-demo.png)
+
+1. **Trigger**: When a conversation reaches `MESSAGE_TRIGGER_COUNT` (e.g., 10, 20 messages).
+2. **Analysis**: The plugin sends the recent conversation + existing rules to the LLM.
+3. **Synthesis**: The LLM merges new insights with old rules, removing obsolete ones.
+4. **Update**: The new rule set replaces the `<!-- OWUI_PROJECT_RULES_START -->` block in the folder's system prompt.
+
+## ⚠️ Notes
+
+- This plugin modifies the `system_prompt` of your folders.
+- It uses a specific marker `<!-- OWUI_PROJECT_RULES_START -->` to locate its content. Do not manually remove these markers if you want the plugin to continue managing that section.
+
+## 🗺️ Roadmap
+
+See [ROADMAP.md](./ROADMAP.md) for future plans, including "Project Knowledge" collection.
--- a/plugins/filters/folder-memory/README_CN.md
+++ b/plugins/filters/folder-memory/README_CN.md
@@ -0,0 +1,62 @@
+# 文件夹记忆 (Folder Memory)
+
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.1.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
+
+---
+
+### 📌 0.1.0 版本特性
+- **首个版本发布**：专注于自动化的“项目规则”管理。
+- **文件夹级持久化**：自动将提取的规则回写到文件夹系统提示词中。
+- **性能优化**：采用异步处理机制，并支持 `PRIORITY` 配置，确保与其他过滤器（如上下文压缩）完美协作。
+
+---
+
+**文件夹记忆 (Folder Memory)** 是一个 OpenWebUI 的智能上下文过滤器插件。它能自动从文件夹内的对话中提取一致性的“项目规则”，并将其回写到文件夹的系统提示词中。
+
+这确保了该文件夹内的所有未来对话都能共享相同的进化上下文和规则，无需手动更新。
+
+## ✨ 功能特性
+
+- **自动提取**：每隔 N 条消息分析一次聊天记录，提取项目规则。
+- **无损注入**：仅更新系统提示词中的特定“项目规则”块，保留其他指令。
+- **异步处理**：在后台运行，不阻塞用户的聊天体验。
+- **ORM 集成**：直接使用 OpenWebUI 的内部模型更新文件夹数据，确保可靠性。
+
+## ⚠️ 前置条件
+
+- **对话必须在文件夹内进行。** 此插件仅在聊天属于某个文件夹时触发（即您需要先在 OpenWebUI 中创建一个文件夹，并在其内部开始对话）。
+
+## 📦 安装指南
+
+1. 将 `folder_memory.py` (或中文版 `folder_memory_cn.py`) 复制到 OpenWebUI 的 `plugins/filters/` 目录（或通过管理员 UI 上传）。
+2. 在 **设置** -> **过滤器** 中启用该插件。
+3. （可选）配置触发阈值（默认：每 10 条消息）。
+
+## ⚙️ 配置 (Valves)
+
+| 参数 | 默认值 | 说明 |
+| :--- | :--- | :--- |
+| `PRIORITY` | `20` | 过滤器操作的优先级。 |
+| `MESSAGE_TRIGGER_COUNT` | `10` | 触发规则分析的消息数量阈值。 |
+| `MODEL_ID` | `""` | 用于生成规则的模型 ID。若为空，则使用当前对话模型。 |
+| `RULES_BLOCK_TITLE` | `## 📂 项目规则` | 显示在注入规则块上方的标题。 |
+| `SHOW_DEBUG_LOG` | `False` | 在浏览器控制台显示详细调试日志。 |
+| `UPDATE_ROOT_FOLDER` | `False` | 如果启用，将向上查找并更新根文件夹的规则，而不是当前子文件夹。 |
+
+## 🛠️ 工作原理
+
+![Folder Memory Demo](https://raw.githubusercontent.com/Fu-Jie/awesome-openwebui/main/plugins/filters/folder-memory/folder-memory-demo.png)
+
+1. **触发**：当对话达到 `MESSAGE_TRIGGER_COUNT`（例如 10、20 条消息）时。
+2. **分析**：插件将最近的对话 + 现有规则发送给 LLM。
+3. **综合**：LLM 将新见解与旧规则合并，移除过时的规则。
+4. **更新**：新的规则集替换文件夹系统提示词中的 `<!-- OWUI_PROJECT_RULES_START -->` 块。
+
+## ⚠️ 注意事项
+
+- 此插件会修改文件夹的 `system_prompt`。
+- 它使用特定标记 `<!-- OWUI_PROJECT_RULES_START -->` 来定位内容。如果您希望插件继续管理该部分，请勿手动删除这些标记。
+
+## 🗺️ 路线图
+
+查看 [ROADMAP.md](./ROADMAP.md) 了解未来计划，包括“项目知识”收集功能。
--- a/plugins/filters/folder-memory/ROADMAP.md
+++ b/plugins/filters/folder-memory/ROADMAP.md
@@ -0,0 +1,10 @@
+# Roadmap
+
+## Future Features
+
+### 🧠 Project Knowledge (Planned)
+In future versions, we plan to introduce "Project Knowledge" collection. Unlike "Rules" which are strict instructions, "Knowledge" will capture reusable information, consensus, and context that helps the LLM understand the project better.
+
+- **Knowledge Extraction**: Automatically extract reusable knowledge (terminology, style guides, business logic) from conversations.
+- **Long-term Memory**: Use the entire folder's chat history as a corpus for knowledge generation.
+- **Context Injection**: Inject summarized knowledge into the system prompt alongside rules.
--- a/plugins/filters/folder-memory/folder-memory-demo.png
+++ b/plugins/filters/folder-memory/folder-memory-demo.png
--- a/plugins/filters/folder-memory/folder_memory.py
+++ b/plugins/filters/folder-memory/folder_memory.py
@@ -0,0 +1,483 @@
+"""
+title: 📂 Folder Memory
+author: Fu-Jie
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
+version: 0.1.0
+description: Automatically extracts project rules from conversations and injects them into the folder's system prompt.
+requirements:
+"""
+
+from pydantic import BaseModel, Field
+from typing import Optional, Dict, List
+from fastapi import Request
+import logging
+import json
+import re
+import asyncio
+from datetime import datetime
+
+from open_webui.utils.chat import generate_chat_completion
+from open_webui.models.users import Users
+from open_webui.models.folders import Folders, FolderUpdateForm
+from open_webui.models.chats import Chats
+
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+# Markers for rule injection
+RULES_BLOCK_START = "<!-- OWUI_PROJECT_RULES_START -->"
+RULES_BLOCK_END = "<!-- OWUI_PROJECT_RULES_END -->"
+
+# System Prompt for Rule Generation
+SYSTEM_PROMPT_RULE_GENERATOR = """
+You are a project rule extractor. Your task is to extract "Project Rules" from the conversation and merge them with existing rules.
+
+### Input
+1. **Existing Rules**: Current rules in the folder system prompt.
+2. **Conversation**: Recent chat history.
+
+### Goal
+Synthesize a concise list of rules that apply to this project/folder.
+- **Remove** rules that are no longer relevant or were one-off instructions.
+- **Add** new consistent requirements found in the conversation.
+- **Merge** similar rules.
+- **Format**: Concise bullet points (Markdown).
+
+### Output Format
+ONLY output the rules list as Markdown bullet points. Do not include any intro/outro text.
+Example:
+- Always use Python 3.11 for type hinting.
+- Docstrings must follow Google style.
+- Commit messages should be in English.
+"""
+
+
+class Filter:
+    class Valves(BaseModel):
+        PRIORITY: int = Field(
+            default=20, description="Priority level for the filter operations."
+        )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False, description="Show debug logs in console."
+        )
+        MESSAGE_TRIGGER_COUNT: int = Field(
+            default=10, description="Analyze rules after every N messages in a chat."
+        )
+        MODEL_ID: str = Field(
+            default="",
+            description="Model used for rule extraction. If empty, uses the current chat model.",
+        )
+        RULES_BLOCK_TITLE: str = Field(
+            default="## 📂 Project Rules",
+            description="Title displayed above the rules block.",
+        )
+        UPDATE_ROOT_FOLDER: bool = Field(
+            default=False,
+            description="If enabled, finds and updates the root folder rules instead of the current subfolder.",
+        )
+
+    def __init__(self):
+        self.valves = self.Valves()
+
+    # ==================== Helper Methods ====================
+
+    def _get_user_context(self, __user__: Optional[dict]) -> Dict[str, str]:
+        """Safely extracts user context information."""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
+
+        return {
+            "user_id": user_data.get("id", ""),
+            "user_name": user_data.get("name", "User"),
+            "user_language": user_data.get("language", "en-US"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """Unified extraction of chat context information (chat_id, message_id)."""
+        chat_id = ""
+        message_id = ""
+
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")
+
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
+    async def _emit_debug_log(self, __event_emitter__, title: str, data: dict):
+        if self.valves.SHOW_DEBUG_LOG and __event_emitter__:
+            try:
+                # Flat log format as requested
+                js_code = f"""
+                    console.log("[Folder Memory] {title}", {json.dumps(data, ensure_ascii=False)});
+                """
+                await __event_emitter__({"type": "execute", "data": {"code": js_code}})
+            except Exception as e:
+                logger.error(f"Error emitting log: {e}")
+
+    async def _emit_status(
+        self, __event_emitter__, description: str, done: bool = False
+    ):
+        if __event_emitter__:
+            await __event_emitter__(
+                {"type": "status", "data": {"description": description, "done": done}}
+            )
+
+    def _get_folder_id(self, body: dict) -> Optional[str]:
+        # 1. Try retrieving folder_id specifically from metadata
+        if "metadata" in body and isinstance(body["metadata"], dict):
+            if "folder_id" in body["metadata"]:
+                return body["metadata"]["folder_id"]
+
+        # 2. Check regular body chat object if available
+        if "chat" in body and isinstance(body["chat"], dict):
+            if "folder_id" in body["chat"]:
+                return body["chat"]["folder_id"]
+
+        # 3. Try fallback via Chat ID (Most reliable)
+        chat_id = body.get("chat_id")
+        if not chat_id:
+            if "metadata" in body and isinstance(body["metadata"], dict):
+                chat_id = body["metadata"].get("chat_id")
+
+        if chat_id:
+            try:
+                chat = Chats.get_chat_by_id(chat_id)
+                if chat and chat.folder_id:
+                    return chat.folder_id
+            except Exception as e:
+                logger.error(f"Failed to fetch chat {chat_id}: {e}")
+
+        return None
+
+    def _extract_existing_rules(self, system_prompt: str) -> str:
+        pattern = re.compile(
+            re.escape(RULES_BLOCK_START) + r"([\s\S]*?)" + re.escape(RULES_BLOCK_END)
+        )
+        match = pattern.search(system_prompt)
+        if match:
+            # Remove title if it's inside the block
+            content = match.group(1).strip()
+            # Simple cleanup of the title if user formatted it inside
+            title_pat = re.compile(r"^#+\s+.*$", re.MULTILINE)
+            return title_pat.sub("", content).strip()
+        return ""
+
+    def _inject_rules(self, system_prompt: str, new_rules: str, title: str) -> str:
+        new_block_content = f"\n{title}\n\n{new_rules}\n"
+        new_block = f"{RULES_BLOCK_START}{new_block_content}{RULES_BLOCK_END}"
+
+        system_prompt = system_prompt or ""
+        pattern = re.compile(
+            re.escape(RULES_BLOCK_START) + r"[\s\S]*?" + re.escape(RULES_BLOCK_END)
+        )
+
+        if pattern.search(system_prompt):
+            return pattern.sub(new_block, system_prompt).strip()
+        else:
+            # Append if not found
+            if system_prompt:
+                return f"{system_prompt}\n\n{new_block}"
+            else:
+                return new_block
+
+    async def _generate_new_rules(
+        self,
+        current_rules: str,
+        messages: List[Dict],
+        user_id: str,
+        __request__: Request,
+    ) -> str:
+        # Prepare context
+        conversation_text = "\n".join(
+            [
+                f"{msg['role'].upper()}: {msg['content']}"
+                for msg in messages[-20:]  # Analyze last 20 messages context
+            ]
+        )
+
+        prompt = f"""
+Existing Rules:
+{current_rules if current_rules else "None"}
+
+Conversation Excerpt:
+{conversation_text}
+
+Please output the updated Project Rules:
+"""
+
+        payload = {
+            "model": self.valves.MODEL_ID,
+            "messages": [
+                {"role": "system", "content": SYSTEM_PROMPT_RULE_GENERATOR},
+                {"role": "user", "content": prompt},
+            ],
+            "stream": False,
+        }
+
+        try:
+            # We need a user object for permission checks in generate_chat_completion
+            user = Users.get_user_by_id(user_id)
+            if not user:
+                return current_rules
+
+            completion = await generate_chat_completion(__request__, payload, user)
+            if "choices" in completion and len(completion["choices"]) > 0:
+                content = completion["choices"][0]["message"]["content"].strip()
+                # Basic validation: ensure it looks like a list
+                if (
+                    content.startswith("-")
+                    or content.startswith("*")
+                    or content.startswith("1.")
+                ):
+                    return content
+        except Exception as e:
+            logger.error(f"Rule generation failed: {e}")
+
+        return current_rules
+
+    async def _process_rules_update(
+        self,
+        folder_id: str,
+        body: dict,
+        user_id: str,
+        __request__: Request,
+        __event_emitter__,
+    ):
+        try:
+            await self._emit_debug_log(
+                __event_emitter__,
+                "Start Processing",
+                {"step": "start", "initial_folder_id": folder_id, "user_id": user_id},
+            )
+
+            # 1. Fetch Folder Data (ORM)
+            initial_folder = Folders.get_folder_by_id_and_user_id(folder_id, user_id)
+            if not initial_folder:
+                await self._emit_debug_log(
+                    __event_emitter__,
+                    "Error: Initial folder not found",
+                    {
+                        "step": "fetch_initial_folder",
+                        "initial_folder_id": folder_id,
+                        "user_id": user_id,
+                    },
+                )
+                return
+
+            # Subfolder handling logic
+            target_folder = initial_folder
+            if self.valves.UPDATE_ROOT_FOLDER:
+                # Traverse up until a folder with no parent_id is found
+                while target_folder and getattr(target_folder, "parent_id", None):
+                    try:
+                        parent = Folders.get_folder_by_id_and_user_id(
+                            target_folder.parent_id, user_id
+                        )
+                        if parent:
+                            target_folder = parent
+                        else:
+                            break
+                    except Exception as e:
+                        await self._emit_debug_log(
+                            __event_emitter__,
+                            "Warning: Failed to traverse parent folder",
+                            {"step": "traverse_root", "error": str(e)},
+                        )
+                        break
+
+            target_folder_id = target_folder.id
+
+            await self._emit_debug_log(
+                __event_emitter__,
+                "Target Folder Resolved",
+                {
+                    "step": "target_resolved",
+                    "target_folder_id": target_folder_id,
+                    "target_folder_name": target_folder.name,
+                    "is_root_update": target_folder_id != folder_id,
+                },
+            )
+
+            existing_data = target_folder.data if target_folder.data else {}
+            existing_sys_prompt = existing_data.get("system_prompt", "")
+
+            # 2. Extract Existing Rules
+            current_rules_content = self._extract_existing_rules(existing_sys_prompt)
+
+            # 3. Generate New Rules
+            await self._emit_status(
+                __event_emitter__, "Analyzing project rules...", done=False
+            )
+
+            messages = body.get("messages", [])
+            new_rules_content = await self._generate_new_rules(
+                current_rules_content, messages, user_id, __request__
+            )
+
+            rules_changed = new_rules_content != current_rules_content
+
+            # 4. If no change, skip
+            if not rules_changed:
+                await self._emit_debug_log(
+                    __event_emitter__,
+                    "No Changes",
+                    {
+                        "step": "check_changes",
+                        "reason": "content_identical_or_generation_failed",
+                    },
+                )
+                await self._emit_status(
+                    __event_emitter__,
+                    "Rule analysis complete: No new content.",
+                    done=True,
+                )
+                return
+
+            # 5. Inject Rules into System Prompt
+            updated_sys_prompt = existing_sys_prompt
+            if rules_changed:
+                updated_sys_prompt = self._inject_rules(
+                    updated_sys_prompt,
+                    new_rules_content,
+                    self.valves.RULES_BLOCK_TITLE,
+                )
+
+            await self._emit_debug_log(
+                __event_emitter__,
+                "Ready to Update DB",
+                {"step": "pre_db_update", "target_folder_id": target_folder_id},
+            )
+
+            # 6. Update Folder (ORM) - Only update 'data' field
+            existing_data["system_prompt"] = updated_sys_prompt
+
+            updated_folder = Folders.update_folder_by_id_and_user_id(
+                target_folder_id,
+                user_id,
+                FolderUpdateForm(data=existing_data),
+            )
+
+            if not updated_folder:
+                raise Exception("Update folder failed (ORM returned None)")
+
+            await self._emit_status(
+                __event_emitter__, "Rule analysis complete: Rules updated.", done=True
+            )
+            await self._emit_debug_log(
+                __event_emitter__,
+                "Rule Generation Process & Change Details",
+                {
+                    "step": "success",
+                    "folder_id": target_folder_id,
+                    "target_is_root": target_folder_id != folder_id,
+                    "model_used": self.valves.MODEL_ID,
+                    "analyzed_messages_count": len(messages),
+                    "old_rules_length": len(current_rules_content),
+                    "new_rules_length": len(new_rules_content),
+                    "changes_digest": {
+                        "old_rules_preview": (
+                            current_rules_content[:100] + "..."
+                            if current_rules_content
+                            else "None"
+                        ),
+                        "new_rules_preview": (
+                            new_rules_content[:100] + "..."
+                            if new_rules_content
+                            else "None"
+                        ),
+                    },
+                    "timestamp": datetime.now().isoformat(),
+                },
+            )
+
+        except Exception as e:
+            logger.error(f"Async rule processing error: {e}")
+            await self._emit_status(
+                __event_emitter__, "Failed to update rules.", done=True
+            )
+            # Emit error to console for debugging
+            await self._emit_debug_log(
+                __event_emitter__,
+                "Execution Error",
+                {"error": str(e), "folder_id": folder_id},
+            )
+
+    # ==================== Filter Hooks ====================
+
+    async def inlet(
+        self, body: dict, __user__: Optional[dict] = None, __event_emitter__=None
+    ) -> dict:
+        return body
+
+    async def outlet(
+        self,
+        body: dict,
+        __user__: Optional[dict] = None,
+        __event_emitter__=None,
+        __request__: Optional[Request] = None,
+    ) -> dict:
+        user_ctx = self._get_user_context(__user__)
+        chat_ctx = self._get_chat_context(body)
+
+        messages = body.get("messages", [])
+        if not messages:
+            return body
+
+        # Trigger logic: Message Count threshold
+        if len(messages) % self.valves.MESSAGE_TRIGGER_COUNT != 0:
+            return body
+
+        folder_id = self._get_folder_id(body)
+        if not folder_id:
+            await self._emit_debug_log(
+                __event_emitter__,
+                "Skipping Analysis",
+                {
+                    "reason": "Chat does not belong to any folder",
+                    "chat_id": chat_ctx.get("chat_id"),
+                },
+            )
+            return body
+
+        # User Info
+        user_id = user_ctx.get("user_id")
+        if not user_id:
+            return body
+
+        # Async Task
+        if self.valves.MODEL_ID == "":
+            self.valves.MODEL_ID = body.get("model", "")
+
+        asyncio.create_task(
+            self._process_rules_update(
+                folder_id, body, user_id, __request__, __event_emitter__
+            )
+        )
+
+        return body
--- a/plugins/filters/folder-memory/folder_memory_cn.py
+++ b/plugins/filters/folder-memory/folder_memory_cn.py
@@ -0,0 +1,470 @@
+"""
+title: 📂 文件夹记忆 (Folder Memory)
+author: Fu-Jie
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
+version: 0.1.0
+description: 自动从对话中提取项目规则，并将其注入到文件夹的系统提示词中。
+requirements:
+"""
+
+from pydantic import BaseModel, Field
+from typing import Optional, Dict, List
+from fastapi import Request
+import logging
+import json
+import re
+import asyncio
+from datetime import datetime
+
+from open_webui.utils.chat import generate_chat_completion
+from open_webui.models.users import Users
+from open_webui.models.folders import Folders, FolderUpdateForm
+from open_webui.models.chats import Chats
+
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+# 规则注入标记
+RULES_BLOCK_START = "<!-- OWUI_PROJECT_RULES_START -->"
+RULES_BLOCK_END = "<!-- OWUI_PROJECT_RULES_END -->"
+
+# 规则生成系统提示词
+SYSTEM_PROMPT_RULE_GENERATOR = """
+你是一个项目规则提取器。你的任务是从对话中提取“项目规则”，并与现有规则合并。
+
+### 输入
+1. **现有规则 (Existing Rules)**：当前文件夹系统提示词中的规则。
+2. **对话片段 (Conversation)**：最近的聊天记录。
+
+### 目标
+综合生成一份适用于当前项目/文件夹的简洁规则列表。
+- **移除** 不再相关或仅是一次性指令的规则。
+- **添加** 对话中发现的新的、一致性的要求。
+- **合并** 相似的规则。
+- **格式**：简洁的 Markdown 项目符号列表。
+
+### 输出格式
+仅输出 Markdown 项目符号列表形式的规则。不要包含任何开头或结尾的说明文字。
+示例：
+- 始终使用 Python 3.11 进行类型提示。
+- 文档字符串必须遵循 Google 风格。
+- 提交信息必须使用英文。
+"""
+
+
+class Filter:
+    class Valves(BaseModel):
+        PRIORITY: int = Field(default=20, description="过滤器操作的优先级。")
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False, description="在控制台显示调试日志。"
+        )
+        MESSAGE_TRIGGER_COUNT: int = Field(
+            default=10, description="每隔 N 条消息分析一次规则。"
+        )
+        MODEL_ID: str = Field(
+            default="", description="用于提取规则的模型 ID。为空则使用当前对话模型。"
+        )
+        RULES_BLOCK_TITLE: str = Field(
+            default="## 📂 项目规则", description="显示在规则块上方的标题。"
+        )
+        UPDATE_ROOT_FOLDER: bool = Field(
+            default=False,
+            description="如果启用，将向上查找并更新根文件夹的规则，而不是当前子文件夹。",
+        )
+
+    def __init__(self):
+        self.valves = self.Valves()
+
+    # ==================== 辅助方法 ====================
+
+    def _get_user_context(self, __user__: Optional[dict]) -> Dict[str, str]:
+        """安全提取用户上下文信息。"""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
+
+        return {
+            "user_id": user_data.get("id", ""),
+            "user_name": user_data.get("name", "User"),
+            "user_language": user_data.get("language", "zh-CN"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """统一提取聊天上下文信息 (chat_id, message_id)。"""
+        chat_id = ""
+        message_id = ""
+
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")
+
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
+    async def _emit_debug_log(self, __event_emitter__, title: str, data: dict):
+        if self.valves.SHOW_DEBUG_LOG and __event_emitter__:
+            try:
+                # 按照用户要求的格式输出展平的日志
+                js_code = f"""
+                    console.log("[Folder Memory] {title}", {json.dumps(data, ensure_ascii=False)});
+                """
+                await __event_emitter__({"type": "execute", "data": {"code": js_code}})
+            except Exception as e:
+                logger.error(f"发出日志错误: {e}")
+
+    async def _emit_status(
+        self, __event_emitter__, description: str, done: bool = False
+    ):
+        if __event_emitter__:
+            await __event_emitter__(
+                {"type": "status", "data": {"description": description, "done": done}}
+            )
+
+    def _get_folder_id(self, body: dict) -> Optional[str]:
+        # 1. 尝试从 metadata 获取 folder_id
+        if "metadata" in body and isinstance(body["metadata"], dict):
+            if "folder_id" in body["metadata"]:
+                return body["metadata"]["folder_id"]
+
+        # 2. 检查 chat 对象
+        if "chat" in body and isinstance(body["chat"], dict):
+            if "folder_id" in body["chat"]:
+                return body["chat"]["folder_id"]
+
+        # 3. 尝试通过 Chat ID 查找 (最可靠的方法)
+        chat_id = body.get("chat_id")
+        if not chat_id:
+            if "metadata" in body and isinstance(body["metadata"], dict):
+                chat_id = body["metadata"].get("chat_id")
+
+        if chat_id:
+            try:
+                chat = Chats.get_chat_by_id(chat_id)
+                if chat and chat.folder_id:
+                    return chat.folder_id
+            except Exception as e:
+                logger.error(f"获取聊天信息失败 chat_id={chat_id}: {e}")
+
+        return None
+
+    def _extract_existing_rules(self, system_prompt: str) -> str:
+        pattern = re.compile(
+            re.escape(RULES_BLOCK_START) + r"([\s\S]*?)" + re.escape(RULES_BLOCK_END)
+        )
+        match = pattern.search(system_prompt)
+        if match:
+            # 如果标题在块内，将其移除以便纯净合并
+            content = match.group(1).strip()
+            title_pat = re.compile(r"^#+\s+.*$", re.MULTILINE)
+            return title_pat.sub("", content).strip()
+        return ""
+
+    def _inject_rules(self, system_prompt: str, new_rules: str, title: str) -> str:
+        new_block_content = f"\n{title}\n\n{new_rules}\n"
+        new_block = f"{RULES_BLOCK_START}{new_block_content}{RULES_BLOCK_END}"
+
+        system_prompt = system_prompt or ""
+        pattern = re.compile(
+            re.escape(RULES_BLOCK_START) + r"[\s\S]*?" + re.escape(RULES_BLOCK_END)
+        )
+
+        if pattern.search(system_prompt):
+            # 替换现有块
+            return pattern.sub(new_block, system_prompt).strip()
+        else:
+            # 追加到末尾
+            if system_prompt:
+                return f"{system_prompt}\n\n{new_block}"
+            else:
+                return new_block
+
+    async def _generate_new_rules(
+        self,
+        current_rules: str,
+        messages: List[Dict],
+        user_id: str,
+        __request__: Request,
+    ) -> str:
+        # 准备上下文
+        conversation_text = "\n".join(
+            [
+                f"{msg['role'].upper()}: {msg['content']}"
+                for msg in messages[-20:]  # 分析最近 20 条消息上下文
+            ]
+        )
+
+        prompt = f"""
+Existing Rules (现有规则):
+{current_rules if current_rules else "无"}
+
+Conversation Excerpt (对话片段):
+{conversation_text}
+
+Please output the updated Project Rules (请输出更新后的项目规则):
+"""
+
+        payload = {
+            "model": self.valves.MODEL_ID,
+            "messages": [
+                {"role": "system", "content": SYSTEM_PROMPT_RULE_GENERATOR},
+                {"role": "user", "content": prompt},
+            ],
+            "stream": False,
+        }
+
+        try:
+            # 需要用户对象进行权限检查
+            user = Users.get_user_by_id(user_id)
+            if not user:
+                return current_rules
+
+            completion = await generate_chat_completion(__request__, payload, user)
+            if "choices" in completion and len(completion["choices"]) > 0:
+                content = completion["choices"][0]["message"]["content"].strip()
+                # 简单验证：确保看起来像个列表
+                if (
+                    content.startswith("-")
+                    or content.startswith("*")
+                    or content.startswith("1.")
+                ):
+                    return content
+        except Exception as e:
+            logger.error(f"规则生成失败: {e}")
+
+        return current_rules
+
+    async def _process_rules_update(
+        self,
+        folder_id: str,
+        body: dict,
+        user_id: str,
+        __request__: Request,
+        __event_emitter__,
+    ):
+        try:
+            await self._emit_debug_log(
+                __event_emitter__,
+                "开始处理",
+                {"step": "start", "initial_folder_id": folder_id, "user_id": user_id},
+            )
+
+            # 1. 获取文件夹数据 (ORM)
+            initial_folder = Folders.get_folder_by_id_and_user_id(folder_id, user_id)
+            if not initial_folder:
+                await self._emit_debug_log(
+                    __event_emitter__,
+                    "错误：未找到初始文件夹",
+                    {
+                        "step": "fetch_initial_folder",
+                        "initial_folder_id": folder_id,
+                        "user_id": user_id,
+                    },
+                )
+                return
+
+            # 处理子文件夹逻辑：决定是更新当前文件夹还是根文件夹
+            target_folder = initial_folder
+            if self.valves.UPDATE_ROOT_FOLDER:
+                # 向上遍历直到找到没有 parent_id 的根文件夹
+                while target_folder and getattr(target_folder, "parent_id", None):
+                    try:
+                        parent = Folders.get_folder_by_id_and_user_id(
+                            target_folder.parent_id, user_id
+                        )
+                        if parent:
+                            target_folder = parent
+                        else:
+                            break
+                    except Exception as e:
+                        await self._emit_debug_log(
+                            __event_emitter__,
+                            "警告：向上查找父文件夹失败",
+                            {"step": "traverse_root", "error": str(e)},
+                        )
+                        break
+
+            target_folder_id = target_folder.id
+
+            await self._emit_debug_log(
+                __event_emitter__,
+                "定目标文件夹",
+                {
+                    "step": "target_resolved",
+                    "target_folder_id": target_folder_id,
+                    "target_folder_name": target_folder.name,
+                    "is_root_update": target_folder_id != folder_id,
+                },
+            )
+
+            existing_data = target_folder.data if target_folder.data else {}
+            existing_sys_prompt = existing_data.get("system_prompt", "")
+
+            # 2. 提取现有规则
+            current_rules_content = self._extract_existing_rules(existing_sys_prompt)
+
+            # 3. 生成新规则
+            await self._emit_status(
+                __event_emitter__, "正在分析项目规则...", done=False
+            )
+
+            messages = body.get("messages", [])
+            new_rules_content = await self._generate_new_rules(
+                current_rules_content, messages, user_id, __request__
+            )
+
+            rules_changed = new_rules_content != current_rules_content
+
+            # 如果生成结果无变更
+            if not rules_changed:
+                await self._emit_debug_log(
+                    __event_emitter__,
+                    "无变更",
+                    {
+                        "step": "check_changes",
+                        "reason": "content_identical_or_generation_failed",
+                    },
+                )
+                await self._emit_status(
+                    __event_emitter__, "规则分析完成：无新增内容。", done=True
+                )
+                return
+
+            # 5. 注入规则到 System Prompt
+            updated_sys_prompt = existing_sys_prompt
+            if rules_changed:
+                updated_sys_prompt = self._inject_rules(
+                    updated_sys_prompt,
+                    new_rules_content,
+                    self.valves.RULES_BLOCK_TITLE,
+                )
+
+            await self._emit_debug_log(
+                __event_emitter__,
+                "准备更新数据库",
+                {"step": "pre_db_update", "target_folder_id": target_folder_id},
+            )
+
+            # 6. 更新文件夹 (ORM) - 仅更新 'data' 字段
+            existing_data["system_prompt"] = updated_sys_prompt
+
+            updated_folder = Folders.update_folder_by_id_and_user_id(
+                target_folder_id,
+                user_id,
+                FolderUpdateForm(data=existing_data),
+            )
+
+            if not updated_folder:
+                raise Exception("Update folder failed (ORM returned None)")
+
+            await self._emit_status(
+                __event_emitter__, "规则分析完成：规则已更新。", done=True
+            )
+            await self._emit_debug_log(
+                __event_emitter__,
+                "规则生成过程和变更详情",
+                {
+                    "step": "success",
+                    "folder_id": target_folder_id,
+                    "target_is_root": target_folder_id != folder_id,
+                    "model_used": self.valves.MODEL_ID,
+                    "analyzed_messages_count": len(messages),
+                    "old_rules_length": len(current_rules_content),
+                    "new_rules_length": len(new_rules_content),
+                    "changes_digest": {
+                        "old_rules_preview": (
+                            current_rules_content[:100] + "..."
+                            if current_rules_content
+                            else "None"
+                        ),
+                        "new_rules_preview": (
+                            new_rules_content[:100] + "..."
+                            if new_rules_content
+                            else "None"
+                        ),
+                    },
+                    "timestamp": datetime.now().isoformat(),
+                },
+            )
+
+        except Exception as e:
+            logger.error(f"异步规则处理错误: {e}")
+            await self._emit_status(__event_emitter__, "更新规则失败。", done=True)
+            # 在控制台也输出错误信息，方便调试
+            await self._emit_debug_log(
+                __event_emitter__, "执行出错", {"error": str(e), "folder_id": folder_id}
+            )
+
+    # ==================== Filter Hooks ====================
+
+    async def inlet(
+        self, body: dict, __user__: Optional[dict] = None, __event_emitter__=None
+    ) -> dict:
+        return body
+
+    async def outlet(
+        self,
+        body: dict,
+        __user__: Optional[dict] = None,
+        __event_emitter__=None,
+        __request__: Optional[Request] = None,
+    ) -> dict:
+        user_ctx = self._get_user_context(__user__)
+        chat_ctx = self._get_chat_context(body)
+
+        messages = body.get("messages", [])
+        if not messages:
+            return body
+
+        # 触发逻辑：消息计数阈值
+        if len(messages) % self.valves.MESSAGE_TRIGGER_COUNT != 0:
+            return body
+
+        folder_id = self._get_folder_id(body)
+        if not folder_id:
+            await self._emit_debug_log(
+                __event_emitter__,
+                "跳过分析",
+                {"reason": "对话不属于任何文件夹", "chat_id": chat_ctx.get("chat_id")},
+            )
+            return body
+
+        # 用户信息
+        user_id = user_ctx.get("user_id")
+        if not user_id:
+            return body
+
+        # 异步任务
+        if self.valves.MODEL_ID == "":
+            self.valves.MODEL_ID = body.get("model", "")
+
+        asyncio.create_task(
+            self._process_rules_update(
+                folder_id, body, user_id, __request__, __event_emitter__
+            )
+        )
+
+        return body
--- a/scripts/extract_plugin_versions.py
+++ b/scripts/extract_plugin_versions.py
@@ -217,6 +217,23 @@ def format_markdown_table(plugins: list[dict]) -> str:
    return "\n".join(lines)


+def _get_readme_url(file_path: str) -> str:
+    """
+    Generate GitHub README URL from plugin file path.
+    从插件文件路径生成 GitHub README 链接。
+    """
+    if not file_path:
+        return ""
+    # Extract plugin directory (e.g., plugins/filters/folder-memory/folder_memory.py -> plugins/filters/folder-memory)
+    from pathlib import Path
+
+    plugin_dir = Path(file_path).parent
+    # Convert to GitHub URL
+    return (
+        f"https://github.com/Fu-Jie/awesome-openwebui/blob/main/{plugin_dir}/README.md"
+    )
+
+
 def format_release_notes(
    comparison: dict[str, list], ignore_removed: bool = False
 ) -> str:
@@ -229,9 +246,12 @@ def format_release_notes(
    if comparison["added"]:
        lines.append("### 新增插件 / New Plugins")
        for plugin in comparison["added"]:
+            readme_url = _get_readme_url(plugin.get("file_path", ""))
            lines.append(f"- **{plugin['title']}** v{plugin['version']}")
            if plugin.get("description"):
                lines.append(f"  - {plugin['description']}")
+            if readme_url:
+                lines.append(f"  - 📖 [README / 文档]({readme_url})")
        lines.append("")

    if comparison["updated"]:
@@ -258,7 +278,10 @@ def format_release_notes(
            )
            prev_ver = prev_manifest.get("version") or prev.get("version")

+            readme_url = _get_readme_url(curr.get("file_path", ""))
            lines.append(f"- **{curr_title}**: v{prev_ver} → v{curr_ver}")
+            if readme_url:
+                lines.append(f"  - 📖 [README / 文档]({readme_url})")
        lines.append("")

    if comparison["removed"] and not ignore_removed:
Author	SHA1	Message	Date
fujie	500e090b11	fix: resolve TypeError and improve Pydantic compatibility in async-context-compression v1.2.2	2026-01-21 21:51:58 +08:00
github-actions[bot]	a75ee555fa	chore: update community stats - followers increased (142 -> 143)	2026-01-21 13:22:53 +00:00
github-actions[bot]	6a8c2164cd	chore: update community stats - followers increased (141 -> 142)	2026-01-21 12:15:46 +00:00
github-actions[bot]	7f7efa325a	chore: update community stats - followers increased (140 -> 141)	2026-01-21 04:25:49 +00:00
github-actions[bot]	9ba6cb08fc	chore: update community stats - followers increased (139 -> 140)	2026-01-20 20:27:29 +00:00
github-actions[bot]	1872271a2d	chore: update community stats - new plugin added (16 -> 17), plugin version updated, points increased (134 -> 135)	2026-01-20 13:23:26 +00:00
fujie	813b50864a	docs(folder-memory): add prerequisites section and enhance release workflow with README links - Add 'Prerequisites' section to folder-memory README files clarifying that conversations must occur inside a folder - Update docs/plugins/filters/folder-memory.md and folder-memory.zh.md with same prerequisites - Enhance extract_plugin_versions.py to auto-generate GitHub README URLs in release notes - Update plugin-development workflow to document README link requirements for publishing	2026-01-20 20:35:06 +08:00
github-actions[bot]	b18cefe320	chore: update community stats - followers increased (137 -> 139)	2026-01-20 12:15:40 +00:00
fujie	a54c359fcf	docs(filters): remove language switchers and legacy references from folder-memory docs	2026-01-20 20:11:00 +08:00
fujie	8d83221a4a	docs(filters): add author and project info to folder-memory READMEs and docs	2026-01-20 20:08:52 +08:00
fujie	1879000720	docs(filters): add 'What's New' section to folder-memory READMEs and docs - Add prominent 'What's New' section to README.md, README_CN.md, and global docs. - Ensure compliance with plugin development standards.	2026-01-20 20:07:46 +08:00
fujie	ba92649a98	feat(filters): refactor folder-rule-collector to folder-memory - Rename plugin from `folder-rule-collector` to `folder-memory` for better clarity. - Refactor code to focus on "Project Rules" collection, removing "Knowledge" collection for V1. - Add `PRIORITY` valve (default: 20) to ensure execution after context compression. - Update all parameter names to uppercase for consistency. - Update documentation (README, global docs) with GitHub raw URL for demo image. - Remove `STATUS` valve as it's redundant with OpenWebUI's built-in function toggle. - Add `ROADMAP.md` to track future "Project Knowledge" features. - Update `.github/copilot-instructions.md` with detailed commit message guidelines.	2026-01-20 20:02:50 +08:00
github-actions[bot]	d2276dcaae	chore: update community stats - plugin version updated	2026-01-20 11:10:30 +00:00