RepoWiki

Open-source DeepWiki alternative — generate comprehensive wiki documentation for any codebase from your terminal or browser.

中文文档

Why RepoWiki?

	DeepWiki	deepwiki-open	RepoWiki
Deploy	SaaS only	Docker Compose	pip install repowiki
Local repos	No	No	Yes
CLI	No	No	Yes
Web UI	Yes	Yes	Yes
Export	Web only	Web only	Markdown / JSON / HTML
Reading guide	No	No	PageRank + guided path
Terminal Q&A	No	No	repowiki chat
Dependencies	N/A	Docker + PostgreSQL	Python + SQLite

Quick Start

pip install repowiki
set your API key (DeepSeek, OpenAI, Anthropic, etc.)
export DEEPSEEK_API_KEY=sk-xxx
or
repowiki config set api_key sk-xxx
scan a local project
repowiki scan ./my-project
scan a GitHub repo
repowiki scan https://github.com/pallets/flask
generate self-contained HTML
repowiki scan ./my-project --format html --open
start the web interface
pip install repowiki[web]
repowiki serve

Features

Wiki Generation

Automatically generates structured documentation for any codebase:

• Project overview — what it does, tech stack, setup instructions
• Module documentation — purpose, key files, relationships, important functions
• Architecture diagrams — auto-detected architecture type with Mermaid visualizations
• Reading guide — "start here" path based on PageRank file importance ranking

Multiple Output Formats

• Markdown — directory of .md files, ready to commit to your repo
• JSON — structured data for API consumption or custom rendering
• HTML — self-contained single file, share with anyone (Mermaid diagrams included)

Web Interface

Three-column wiki viewer with sidebar navigation, Mermaid diagram rendering, and an AI-powered Q&A chat about the codebase.

CLI-First Design

Everything works from the terminal. No Docker, no database server, no web browser required.

repowiki scan .                    # generate wiki
repowiki scan . -f html --open     # open in browser
repowiki scan . -l zh              # Chinese output
repowiki chat .                    # ask questions (coming soon)
repowiki config list               # show configuration

Supported Languages

Python, JavaScript, TypeScript, Go, Rust, Java, Kotlin, C/C++, C#, Ruby, PHP, Swift, Dart, Vue, Svelte, and 30+ more.

Supported LLM Providers

Powered by litellm, RepoWiki works with 100+ LLM providers:

Provider	Model	Alias
Anthropic	Claude Opus 4.6	opus
Anthropic	Claude Sonnet 4.6	claude
OpenAI	GPT-5.4	gpt
OpenAI	GPT-5.4 Mini	gpt-mini
Google	Gemini 3.1 Pro	gemini
Google	Gemini 2.5 Flash	gemini-flash
DeepSeek	DeepSeek V3.2	deepseek
Alibaba	Qwen3.5 Plus	qwen
Moonshot	Kimi K2.6	kimi
Zhipu	GLM-5	glm
MiniMax	M2.7	minimax

repowiki config set model deepseek    # use alias
repowiki scan . -m gpt                # or pass directly

Configuration

RepoWiki looks for config in this order:

1. CLI flags (-m, -l, -o)
2. Environment variables (REPOWIKI_MODEL, REPOWIKI_API_KEY)
3. Config file (~/.repowiki/config.json)
4. Provider-specific env vars (DEEPSEEK_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY)

Project Structure

RepoWiki/
├── src/repowiki/
│   ├── cli.py              # Click CLI with scan/serve/chat/config commands
│   ├── config.py           # Configuration management
│   ├── core/
│   │   ├── scanner.py      # File scanning with language detection
│   │   ├── analyzer.py     # Multi-step LLM analysis pipeline
│   │   ├── graph.py        # Dependency graph + PageRank
│   │   ├── wiki_builder.py # Wiki page assembly
│   │   ├── rag.py          # TF-IDF retrieval for Q&A
│   │   └── cache.py        # SQLite caching
│   ├── llm/
│   │   ├── client.py       # litellm async wrapper
│   │   └── prompts.py      # Structured prompt templates
│   ├── ingest/
│   │   ├── local.py        # Local directory ingestion
│   │   └── github.py       # Git clone with caching
│   ├── export/
│   │   ├── markdown.py     # Markdown directory export
│   │   ├── json_export.py  # JSON export
│   │   └── html.py         # Self-contained HTML export
│   └── server/             # FastAPI web backend
├── frontend/               # React + Vite + TailwindCSS
├── pyproject.toml
└── LICENSE

How It Works

1. Scan — Walk the directory tree, filter out binaries and generated files, detect languages and entry points
2. Graph — Parse import statements across 6 languages, build a dependency graph, run PageRank to rank file importance
3. Analyze — Send file tree + key files to LLM in 4 structured passes (overview, modules, architecture, reading guide)
4. Cache — Store results in SQLite keyed by content hash, skip unchanged files on re-scan
5. Export — Assemble wiki pages with Mermaid diagrams and source links, output in chosen format

Development

git clone https://github.com/he-yufeng/RepoWiki.git
cd RepoWiki
backend
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev,web]"
frontend
cd frontend && npm install && npm run dev
run backend
repowiki serve --port 8000

Related Projects

• CodeJoust — once RepoWiki tells you how the repo works, CodeJoust helps you change it: race Claude Code, aider, Codex, and Gemini on the same bug in parallel git worktrees, auto-score by tests/cost/diff/time, merge the winner. pip install codejoust.
• LiteBench — one-command LLM/agent benchmark. HumanEval/GSM8K/MMLU/MATH-500 built in, plus YAML-defined custom tasks and a single-file HTML dashboard.
• CoreCoder — Claude Code's architecture distilled to ~1,400 lines of Python, with 7 deep-dive architecture articles.
• AnyCoder — practical terminal AI coding agent, 100+ model support via litellm.

License

MIT