# DeepWiki Open — AI-Powered Wiki Generator for Code Repositories

> Automatically generate comprehensive wiki documentation from GitHub, GitLab, or Bitbucket repositories using AI analysis.

## Install

Save in your project root:

# DeepWiki Open — AI-Powered Wiki Generator for Code Repositories

## Quick Use
```bash
git clone https://github.com/AsyncFuncAI/deepwiki-open.git
cd deepwiki-open
pip install -r requirements.txt
python main.py --repo https://github.com/owner/repo
```

## Introduction
DeepWiki Open is the open-source version of the DeepWiki service. It analyzes code repositories from GitHub, GitLab, or Bitbucket and generates comprehensive wiki-style documentation using AI. The tool parses code structure, reads README files and comments, then produces organized, navigable documentation pages that explain the project's architecture, components, and usage.

## What DeepWiki Open Does
- Clones and analyzes any public or private code repository
- Generates structured wiki pages covering architecture, modules, and APIs
- Creates relationship diagrams between components
- Supports multiple LLM providers for content generation
- Produces self-contained HTML documentation for offline browsing

## Architecture Overview
DeepWiki Open is a Python application that combines code analysis with LLM-based content generation. It first parses the repository structure using language-aware analyzers to extract modules, functions, classes, and their relationships. This structured representation is then fed to an LLM in batches to generate documentation for each component. A rendering stage produces the final wiki pages with cross-linked navigation.

## Self-Hosting & Configuration
- Install Python dependencies and configure your LLM API key
- Supports OpenAI, Anthropic, Google Gemini, and Ollama for local models
- Provide a repository URL or local path as input
- Configure output format and documentation depth in settings
- Deploy the generated wiki as static HTML or serve via the built-in web server

## Key Features
- Multi-platform support for GitHub, GitLab, and Bitbucket repositories
- Configurable documentation depth from high-level overview to detailed API docs
- Support for private repositories with token-based authentication
- Multiple LLM provider backends including local models via Ollama
- Component relationship visualization in generated documentation

## Comparison with Similar Tools
- **Docusaurus** — static site generator requiring manual content; DeepWiki auto-generates from code
- **Mintlify** — AI-assisted docs but SaaS-only and focused on API documentation
- **MkDocs** — Markdown-based doc sites needing manual authoring
- **Swagger/OpenAPI** — API-specific documentation, not full project wikis
- **ReadMe** — commercial documentation platform without self-hosting option

## FAQ
**Q: Which LLM providers are supported?**
A: OpenAI, Anthropic, Google Gemini, OpenRouter, and local models through Ollama.

**Q: Can it document private repositories?**
A: Yes, provide a personal access token for the respective platform to access private repositories.

**Q: How long does it take to generate documentation?**
A: It depends on repository size and the LLM provider used. Small to medium repositories typically take a few minutes.

**Q: Can I customize the generated output?**
A: Yes, you can configure the documentation depth, included sections, and output format through the settings file.

## Sources
- https://github.com/AsyncFuncAI/deepwiki-open
- https://github.com/AsyncFuncAI/deepwiki-open#readme

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Source: https://tokrepo.com/en/workflows/asset-735cfd0c
Author: AI Open Source