DeepWiki Open — AI-Powered Wiki Generator for Code Repositories

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