OpenDeepWiki — Turn Any Repo into AI Documentation
Self-hosted tool that converts GitHub, GitLab, and Gitea repositories into AI-powered knowledge bases with Mermaid diagrams and conversational AI. MIT license, 3,000+ stars.
Instalación lista para agent
Este activo puede instalarse después de elegir el runtime, revisar el plan y ejecutar el comando correspondiente.
npx -y tokrepo@latest install 24613482-86e1-487a-a2ad-450c9bb7dfaa --target codexEjecutar después de confirmar el plan con dry-run.
What it is
OpenDeepWiki is a self-hosted tool that converts code repositories from GitHub, GitLab, and Gitea into AI-powered documentation sites. It analyzes source code, generates structured documentation with Mermaid diagrams, and adds a conversational AI interface for asking questions about the codebase.
This tool is useful for engineering teams onboarding new developers, open-source maintainers who want better docs, and anyone who needs to understand an unfamiliar codebase quickly. It ships under the MIT license.
How it saves time or tokens
Reading a large codebase file by file is slow and error-prone. OpenDeepWiki automates the documentation generation process, producing architecture overviews, dependency graphs, and API references from source code. The generated knowledge base also serves as context for AI assistants, reducing the token cost of repeatedly explaining code structure in chat conversations.
How to use
- Clone the OpenDeepWiki repository and install dependencies.
- Configure your Git provider credentials and target repository.
- Run the documentation generation process.
- Access the generated knowledge base through the web interface.
# Clone OpenDeepWiki
git clone https://github.com/AIDotNet/OpenDeepWiki.git
cd OpenDeepWiki
# Configure environment
cp .env.example .env
# Edit .env with your GitHub token and LLM API key
# Run with Docker Compose
docker-compose up -d
# Access the web UI
# Open http://localhost:3000 in your browser
Example
After pointing OpenDeepWiki at a repository, it generates pages like:
# Architecture Overview
The project follows a layered architecture:
- **API Layer**: Express.js routes in /src/routes/
- **Service Layer**: Business logic in /src/services/
- **Data Layer**: PostgreSQL via Prisma ORM in /src/models/
Dependency Graph
(Mermaid diagram auto-generated from imports)
Key Components
AuthService
Handles JWT token generation and validation.
Used by: routes/auth.ts, middleware/auth.ts
Related on TokRepo
- Documentation tools — More tools for generating and managing docs
- RAG tools — Retrieval-augmented generation for codebases
Common pitfalls
- Large repositories take significant time and API tokens to process. Start with smaller repos to validate your setup.
- The quality of generated documentation depends on the LLM used. Stronger models produce more accurate architecture descriptions.
- Private repository access requires proper Git provider tokens with read permissions.
- Mermaid diagrams can become cluttered for repositories with complex dependency trees. Consider filtering to specific modules.
- The tool generates a snapshot of documentation. Re-run it periodically to keep docs in sync with code changes.
- Review the official documentation before deploying to production to ensure compatibility with your specific environment and requirements.
Preguntas frecuentes
OpenDeepWiki supports GitHub, GitLab, and Gitea. You configure provider credentials in the environment file. Both public and private repositories are supported with proper authentication tokens.
OpenDeepWiki is LLM-agnostic. You configure the model endpoint in the environment file. It works with OpenAI, Anthropic Claude, and other providers that expose a compatible API.
Yes. You can configure which directories to include or exclude, set documentation depth, and customize the output format. The generated markdown files can be edited manually after generation.
Once documentation is generated, the web interface includes a chat panel. You can ask questions about the codebase in natural language, and the AI answers using the generated documentation as context via retrieval-augmented generation.
It can handle monorepos, but processing time and cost increase with repository size. For large monorepos, consider pointing it at specific subdirectories rather than the entire repository to keep generation manageable.
Referencias (3)
- OpenDeepWiki GitHub— OpenDeepWiki converts repositories into AI-powered knowledge bases
- Mermaid Documentation— Mermaid diagrams for code visualization
- Anthropic RAG Documentation— RAG architecture for codebase Q&A
Relacionados en TokRepo
Fuente y agradecimientos
Created by AIDotNet. Licensed under MIT.
OpenDeepWiki — ⭐ 3,000+
Discusión
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