简体中文 | Usage Guide | Changelog
CodeWiki is a single-user code intelligence platform for AST-based repository analysis, GraphRAG retrieval, source-grounded wiki generation, and LiteLLM-powered Q&A.
- Analyze Python, TypeScript/TSX, JavaScript/JSX, Java, Go, Rust, C, C++, and C#.
- Build deterministic code graphs for imports, definitions, calls, routes, inheritance, source references, and configuration usage.
- Generate DeepWiki-style catalogs and pages with source citations, diagrams, translations, incremental updates, and browser-side exports.
- Ask GraphRAG-grounded questions through the Web UI, CLI, HTTP API, or MCP server.
- Use Lite Mode for a project-local, no-LLM graph index optimized for AI agent context, traces, impact analysis, and MCP tools.
- Use SQLite by default, or PostgreSQL with full-text search and optional pgvector vector search.
Install from PyPI:
pip install codewiki
codewiki serveOpen http://127.0.0.1:8000, register a repository, run analysis, then generate a
wiki or ask questions.
Run with Docker Compose:
docker compose up --buildThe packaged Python app includes the built frontend. A source checkout is only needed for development or Docker-based local runs.
codewiki repos add . --name my-repo
codewiki analyze .
codewiki graphrag build . --embeddings
codewiki wiki catalog .
codewiki wiki pages .
codewiki ask --repo my-repo "How does the main workflow fit together?"
codewiki mcpMost repository arguments accept an id, id prefix, registered name, path, or Git URL.
Use --json for machine-readable output.
Lite Mode creates a project-local .codewiki/codewiki-lite.sqlite3 index and skips
LLM, Wiki, GraphRAG chunk, and Web UI workflows. It is intended for local AI assistants
that need fast symbol search, source context, call traces, and affected-file analysis.
codewiki lite index .
codewiki lite query AuthService
codewiki lite context "how authentication works"
codewiki lite trace LoginForm createSession
codewiki lite callers generate_page
codewiki lite affected src/auth.py
codewiki mcp --lite --path .codewiki lite status reports pending file changes. codewiki lite sync refreshes the
index, and codewiki lite watch keeps it fresh with a polling watcher. MCP Lite Mode
catches up an existing index on startup unless --no-sync is passed.
CodeWiki defaults to SQLite:
CODEWIKI_DATABASE_URL=sqlite+aiosqlite:///./data/codewiki.sqlite3PostgreSQL is also supported:
CODEWIKI_DATABASE_URL=postgresql+psycopg://codewiki:codewiki@localhost:5432/codewikiConfigure LLM profiles with codewiki config or .env:
codewiki config
codewiki config --set CODEWIKI_LLM__DEFAULT__MODEL=openai/gpt-4.1
codewiki config --profile qa --model openai/gpt-4.1 --api-key "$OPENAI_API_KEY"- Usage Guide: installation, Docker, database setup, wiki workflow, LLM profiles, CLI, MCP, HTTP API, and supported languages.
- Design Notes: architecture and feature design.
- PostgreSQL Compatibility Design: storage compatibility, PostgreSQL FTS, and pgvector design.
- Benchmarking Guide and Benchmark Report: benchmark workflow and current results.
- Changelog: release history.
make install
make start
make lint
make typecheck
make test
make buildDefault local URLs:
- Backend:
http://127.0.0.1:8000 - Frontend:
http://127.0.0.1:5173
Python type checking uses mypy with a gradual configuration in pyproject.toml.
New public service, repository, API helper, and CLI helper functions should include
explicit parameter and return types. Prefer dataclasses, Pydantic models, TypedDict,
or Protocol over broad dict[str, Any] when data crosses module boundaries. Keep
Any near integration edges such as LLM JSON payloads, SQLAlchemy JSON columns, and
third-party parser output.
MIT

