
mambo-wang/codewiki-plus
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CodeWiki-Plus is a repository knowledge engine driven entirely by the AI IDE's own model via MCP (Model Context Protocol): zero LLM configuration for Wiki generation, plus a full knowledge management...
Overview
AI IDE-Driven Code Documentation Generator & Knowledge Engine, a code repository document generation and knowledge management tool powered by AI IDE The "Chasing the Sun / WanderingBug" official account has published a series of technical columns for this project. Welcome to read: - Column Opening Words: From Code Documentation to AI Knowledge Engine (2026-07-26) - Part 2: Dual-Layer Prompt Architecture Serves Both Humans and Models (2026-08-01) - Part 3: Zero-Dependence Retrieval Design (2026-08-06) - Part 4: A Panorama of Knowledge Writing Methods (2026-08-09) - Part 5: Introduction and Practice of OKF 0.2 Specification (2026-08) - Part 6: Using HOOKS Mechanism for Cross-Session Memory and Task Management (2026-08) - Article 7: Layered Extraction of Memory/Experience — A Self-Growing Team Knowledge Base (2026-08) - Article 8: 4D Code Review — Automatically Turning Pitfalls into CHECKLISTS (2026-08) - Article 9: Multi-Warehouse Harness Centralized Management Solution (2026-09) - Article 10: How to Make AI-Written Wikis Trustworthy — Project Knowledge Lifecycle Management (2026-09) - Article 11: Extracting Experience from Conversations and Compiling Skills — Google WikiSkill Practical Application (2026-09-09) - Article 12: Local Knowledge Base Team Transformation (2026-09-21) - Article 13: CodeWiki-Plus Panorama Review — Self-Cultivation of a Self-Evolving Code Knowledge Base (2026-10) CodeWiki-Plus is a repository knowledge engine driven by AI IDEs (CodeBuddy, Cursor, Claude Desktop, etc.) models, capable of generating wiki documents and providing comprehensive knowledge management capabilities such as retrieval, note-taking, task memory, and team telemetry. The project was initially forked from FSoft-AI4Code/CodeWiki and independently evolved based on its toolchain (Tree-sitter AST parsing, dependency graph construction, topological sorting, Mermaid validation). It has now evolved into a standalone project with different architectural positioning—see acknowledgments for details. The original CodeWiki is an excellent repository-level document generation framework. It achieves high-quality code documentation generation through toolchains such as Tree-sitter AST parsing, dependency graph construction, and topological sorting.
Overview (machine translated)
CodeWiki-Plus
A code warehouse document generation and knowledge management tool powered by an AI IDE AI IDE-Driven Code Documentation Generator & Knowledge Engine
Chinese | English
Chinese
Column Article
The “Chasing the Sun / WanderingBug” official account has published a series of technical columns for this project. Welcome to read:
- Column Opening: From Code Documentation to AI Knowledge Engine (2026-07-26)
- Article 2: Dual-Layer Prompt Architecture Serves Both Humans and Models (2026-08-01)
- Article 3: Zero-Dependency Retrieval Design (2026-08-06)
- Article 4: A Panorama of Knowledge Writing Methods (2026-08-09)
- Article 5: Introduction and Practice of OKF 0.2 Specification (2026-08)
- Article 6: Achieving Cross-Session Memory and Task Management with HOOKS Mechanism (2026-08)
- Article 7: Layered Extraction of Memory/Experience—A Self-Growing Team Knowledge Base (2026-08)
- Article 8: 4D Code Review — Automatically Turning Pitfalls into CHECKLISTS (2026-08)
- Article 9: Multi-warehouse Harness Centralized Management Solution (2026-09)
- Article 10: How to Make AI-Written Wikis Trustworthy—Full Lifecycle Management of Project Knowledge (2026-09)
- Article 11: Extracting Experience from Conversations and Turning It into Skills — Google WikiSkill Practical Application (2026-09-09)
- Article 12: Local Knowledge Base Team Transformation (2026-09-21)
- Article 13: A Panoramic Review of CodeWiki-Plus—Self-Cultivation of an Auto-Evolution Code Knowledge Base (2026-10)
What is this project?
CodeWiki-Plus is a warehouse knowledge engine powered by AI IDEs (CodeBuddy, Cursor, Claude Desktop, etc.) models: No need to configure any large model APIs to generate wiki documents, and on this basis, it provides complete knowledge management capabilities such as retrieval, note-taking, task memory, and team telemetry.
The project was initially forked from FSoft-AI4Code/CodeWiki and independently evolved based on its toolchain (Tree-sitter AST parsing, dependency graph construction, topological sorting, Mermaid validation). It has now evolved into a standalone project with different architectural positioning—see acknowledgments for details.
Why do this renovation?
The original CodeWiki is an excellent repository-level documentation generation framework. It achieves high-quality code documentation generation through toolchains such as Tree-sitter AST parsing, dependency graph construction, and topological sorting. However, it has a usage threshold: You must configure the LLM API yourself (apply for API Key, select provider, handle model compatibility), and the entire generation process is a black box, with users unable to intervene midway.
This page was translated automatically. Technical details may differ from the original.
Install
This server does not publish a one-line install command.
Open the repository installation guide New to MCP? Start with the mcpskill.org guide →Configuration
{
"mcpServers": {
"codewiki": {
"command": "python",
"args": [
"-m",
"codewiki.mcp.server"
],
"maxOutputLength": 500000,
"timeout": 36000000,
"env": {
"CODEWIKI_LANG": "en",
"CODEWIKI_USER": "your-pseudonym"
}
}
}
}