# OpenDeepWiki **Repository Path**: kugouming/OpenDeepWiki ## Basic Information - **Project Name**: OpenDeepWiki - **Description**: OpenDeepWiki 是一个为开源项目提供AI文档分析的开源项目，您只需要一分钟导入您的开源仓库或部署私有化导入公司内部仓库，只需要十分钟不到就能完全解构您的屎山项目，并且为您的开源项目生成详细的文档 - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: https://opendeep.wiki - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 17 - **Created**: 2025-07-30 - **Last Updated**: 2025-07-30 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # OpenDeepWiki [中文](README.zh-CN.md) | [English](README.md)
OpenDeepWiki Logo

AI-Driven Code Knowledge Base

--- # Sponsor [![302.AI](https://github.com/user-attachments/assets/b1bcb56e-38cb-47bf-adfe-7a21d83774b4)](https://share.302.ai/jXcaTv) [302.AI](https://share.302.ai/jXcaTv) is a pay-as-you-go enterprise-level AI application platform that provides an open platform and open-source ecosystem to help AI solve various needs. Click [here](https://share.302.ai/jXcaTv) to get $1 free credit! --- # Features - **Quick Conversion**: Supports converting all GitHub, GitLab, Gitee, Gitea and other code repositories into knowledge bases within minutes. - **Multi-language Support**: Supports code analysis and documentation generation for all programming languages. - **Code Structure Diagrams**: Automatically generates Mermaid diagrams to help understand code structure. - **Custom Model Support**: Supports custom models and custom APIs for flexible extension. - **AI Intelligent Analysis**: AI-based code analysis and code relationship understanding. - **SEO Friendly**: Generates SEO-friendly documentation and knowledge bases based on Next.js for easy search engine crawling. - **Conversational Interaction**: Supports conversations with AI to obtain detailed code information and usage methods for deep code understanding. --- # Feature List - [x] Support multiple code repositories (GitHub, GitLab, Gitee, Gitea, etc.) - [x] Support multiple programming languages (Python, Java, C#, JavaScript, etc.) - [x] Support repository management (CRUD operations on repositories) - [x] Support multiple AI providers (OpenAI, AzureOpenAI, Anthropic, etc.) - [x] Support multiple databases (SQLite, PostgreSQL, SqlServer, MySQL, etc.) - [x] Support multiple languages (Chinese, English, French, etc.) - [x] Support uploading ZIP files and local files - [x] Provide data fine-tuning platform to generate fine-tuning datasets - [x] Support directory-level repository management with dynamic directory and document generation - [x] Support repository directory modification management - [x] Support user management (CRUD operations on users) - [x] Support user permission management - [x] Support repository-level generation of different fine-tuning framework datasets --- # Project Introduction OpenDeepWiki is an open-source project inspired by [DeepWiki](https://deepwiki.com/), developed based on .NET 9 and Semantic Kernel. It aims to help developers better understand and utilize code repositories, providing features such as code analysis, documentation generation, and knowledge graph construction. Main Features: - Analyze code structure - Understand repository core concepts - Generate code documentation - Automatically generate README.md for code - Support MCP (Model Context Protocol) --- # MCP Support OpenDeepWiki supports the MCP protocol: - Can serve as a single repository MCPServer for repository analysis. Example configuration: ```json { "mcpServers": { "OpenDeepWiki":{ "url": "http://Your OpenDeepWiki service IP:port/sse?owner=AIDotNet&name=OpenDeepWiki" } } } ``` - owner: Repository organization or owner name - name: Repository name After adding the repository, you can test by asking questions like "What is OpenDeepWiki?", with effects as shown below: ![](img/mcp.png) This way, OpenDeepWiki can serve as an MCPServer for other AI models to call, facilitating analysis and understanding of open-source projects. --- # 🚀 Quick Start 1. Clone the repository ```bash git clone https://github.com/AIDotNet/OpenDeepWiki.git cd OpenDeepWiki ``` 2. Modify environment variable configuration in `docker-compose.yml`: - OpenAI example: ```yaml services: koalawiki: environment: - KOALAWIKI_REPOSITORIES=/repositories - TASK_MAX_SIZE_PER_USER=5 # Maximum parallel document generation tasks per user for AI - CHAT_MODEL=DeepSeek-V3 # Model must support function calling - ANALYSIS_MODEL= # Analysis model for generating repository directory structure - CHAT_API_KEY= # Your API Key - LANGUAGE= # Default generation language, e.g., "Chinese" - ENDPOINT=https://api.token-ai.cn/v1 - DB_TYPE=sqlite - MODEL_PROVIDER=OpenAI # Model provider, supports OpenAI, AzureOpenAI, Anthropic - DB_CONNECTION_STRING=Data Source=/data/KoalaWiki.db - EnableSmartFilter=true # Whether to enable smart filtering, affects AI's ability to get repository file directories - UPDATE_INTERVAL # Repository incremental update interval in days - MAX_FILE_LIMIT=100 # Maximum upload file limit in MB - DEEP_RESEARCH_MODEL= # Deep research model, if empty uses CHAT_MODEL - ENABLE_INCREMENTAL_UPDATE=true # Whether to enable incremental updates - ENABLE_CODED_DEPENDENCY_ANALYSIS=false # Whether to enable code dependency analysis, may affect code quality - ENABLE_WAREHOUSE_COMMIT=true # Whether to enable warehouse commit - ENABLE_FILE_COMMIT=true # Whether to enable file commit - REFINE_AND_ENHANCE_QUALITY=true # Whether to refine and enhance quality - ENABLE_WAREHOUSE_FUNCTION_PROMPT_TASK=true # Whether to enable warehouse function prompt task - ENABLE_WAREHOUSE_DESCRIPTION_TASK=true # Whether to enable warehouse description task - CATALOGUE_FORMAT=compact # Directory structure format (compact, json, pathlist, unix) - ENABLE_CODE_COMPRESSION=false # Whether to enable code compression - MAX_FILE_READ_COUNT=10 # Maximum file read count limit for AI, prevents unlimited file reading (default: 10, 0 = no limit) ``` - AzureOpenAI and Anthropic configurations are similar, only need to adjust `ENDPOINT` and `MODEL_PROVIDER`. ## Database Configuration ### SQLite (Default) ```yaml - DB_TYPE=sqlite - DB_CONNECTION_STRING=Data Source=/data/KoalaWiki.db ``` ### PostgreSQL ```yaml - DB_TYPE=postgres - DB_CONNECTION_STRING=Host=localhost;Database=KoalaWiki;Username=postgres;Password=password ``` ### SQL Server ```yaml - DB_TYPE=sqlserver - DB_CONNECTION_STRING=Server=localhost;Database=KoalaWiki;Trusted_Connection=true; ``` ### MySQL ```yaml - DB_TYPE=mysql - DB_CONNECTION_STRING=Server=localhost;Database=KoalaWiki;Uid=root;Pwd=password; ``` 3. Start services Using Makefile commands: ```bash # Build all Docker images make build # Start all services in background make up # Start in development mode (with visible logs) make dev ``` Visit http://localhost:8090 to access the knowledge base page. For Windows users without make environment, use Docker Compose directly: ```bash docker-compose build docker-compose up -d docker-compose up docker-compose down docker-compose logs -f ``` --- # Deployment Recommendations - Build for specific architecture: ```bash docker-compose build --build-arg ARCH=arm64 docker-compose build --build-arg ARCH=amd64 ``` - Build only backend or frontend: ```bash docker-compose build koalawiki docker-compose build koalawiki-web ``` - One-click deployment to Sealos (supports public network access): [![Deploy on Sealos](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://bja.sealos.run/?openapp=system-template%3FtemplateName%3DOpenDeepWiki) For detailed steps, please refer to: [One-click Sealos Deployment of OpenDeepWiki](scripts/sealos/README.zh-CN.md) --- # 🔍 How It Works OpenDeepWiki leverages AI to achieve: - Clone code repository locally - Read .gitignore configuration to ignore irrelevant files - Recursively scan directories to get all files and directories - Determine if file count exceeds threshold; if so, call AI model for intelligent directory filtering - Parse AI-returned directory JSON data - Generate or update README.md - Call AI model to generate repository classification information and project overview - Clean project analysis tag content and save project overview to database - Call AI to generate thinking directory (task list) - Recursively process directory tasks to generate document directory structure - Save directory structure to database - Process incomplete document tasks - If Git repository, clean old commit records, call AI to generate update log and save --- # OpenDeepWiki Repository Parsing to Documentation Detailed Flow Chart ```mermaid graph TD A[Clone code repository] --> B[Read .gitignore configuration to ignore files] B --> C[Recursively scan directories to get all files and directories] C --> D{Does file count exceed threshold?} D -- No --> E[Directly return directory structure] D -- Yes --> F[Call AI model for intelligent directory structure filtering] F --> G[Parse AI-returned directory JSON data] E --> G G --> H[Generate or update README.md] H --> I[Call AI model to generate repository classification information] I --> J[Call AI model to generate project overview information] J --> K[Clean project analysis tag content] K --> L[Save project overview to database] L --> M[Call AI to generate thinking directory task list] M --> N[Recursively process directory tasks to generate DocumentCatalog] N --> O[Save directory structure to database] O --> P[Process incomplete document tasks] P --> Q{Is repository type Git?} Q -- Yes --> R[Clean old commit records] R --> S[Call AI to generate update log] S --> T[Save update log to database] Q -- No --> T ``` --- # Advanced Configuration ## Environment Variables - `KOALAWIKI_REPOSITORIES`: Repository storage path - `TASK_MAX_SIZE_PER_USER`: Maximum parallel document generation tasks per user for AI - `CHAT_MODEL`: Chat model (must support function calling) - `ENDPOINT`: API endpoint - `ANALYSIS_MODEL`: Analysis model for generating repository directory structure - `CHAT_API_KEY`: API key - `LANGUAGE`: Document generation language - `DB_TYPE`: Database type, supports sqlite, postgres, sqlserver, mysql (default: sqlite) - `MODEL_PROVIDER`: Model provider, default OpenAI, supports AzureOpenAI, Anthropic - `DB_CONNECTION_STRING`: Database connection string - `EnableSmartFilter`: Whether to enable smart filtering, affects AI's ability to get repository directories - `UPDATE_INTERVAL`: Repository incremental update interval (days) - `MAX_FILE_LIMIT`: Maximum upload file limit (MB) - `DEEP_RESEARCH_MODEL`: Deep research model, if empty uses CHAT_MODEL - `ENABLE_INCREMENTAL_UPDATE`: Whether to enable incremental updates - `ENABLE_CODED_DEPENDENCY_ANALYSIS`: Whether to enable code dependency analysis, may affect code quality - `ENABLE_WAREHOUSE_COMMIT`: Whether to enable warehouse commit - `ENABLE_FILE_COMMIT`: Whether to enable file commit - `REFINE_AND_ENHANCE_QUALITY`: Whether to refine and enhance quality - `ENABLE_WAREHOUSE_FUNCTION_PROMPT_TASK`: Whether to enable warehouse function prompt task - `ENABLE_WAREHOUSE_DESCRIPTION_TASK`: Whether to enable warehouse description task - `CATALOGUE_FORMAT`: Directory structure format (compact, json, pathlist, unix) - `ENABLE_CODE_COMPRESSION`: Whether to enable code compression - `MAX_FILE_READ_COUNT`: Maximum file read count limit for AI, prevents unlimited file reading and improves processing efficiency (default: 10, 0 = no limit) ## Build for Different Architectures Makefile commands: ```bash make build-arm # ARM architecture make build-amd # AMD architecture make build-backend-arm # Backend only ARM make build-frontend-amd # Frontend only AMD ``` --- # Community - Discord: [join us](https://discord.gg/8sxUNacv) - WeChat Official Account QR Code: ![WeChat QR](/img/wechat.jpg) --- # 📄 License This project is licensed under the MIT License. See [LICENSE](./LICENSE) for details. --- # ⭐ Star History [![Star History Chart](https://api.star-history.com/svg?repos=AIDotNet/OpenDeepWiki&type=Date)](https://www.star-history.com/#AIDotNet/OpenDeepWiki&Date)