ChunkHound

Local-first codebase intelligence

Tests License: MIT 100% AI Generated Discord

Your AI assistant searches code but doesn't understand it. ChunkHound researches your codebase—extracting architecture, patterns, and institutional knowledge at any scale. Integrates via MCP.

Features

  • cAST Algorithm - Research-backed semantic code chunking
  • Multi-Hop Semantic Search - Discovers interconnected code relationships beyond direct matches
  • Semantic search - Natural language queries like "find authentication code"
  • Regex search - Pattern matching without API keys
  • Local-first - Your code stays on your machine
  • 32 languages with structured parsing
    • Programming (via Tree-sitter): Python, JavaScript, TypeScript, JSX, TSX, Java, Kotlin, Groovy, C, C++, C#, Go, Rust, Haskell, Swift, Bash, MATLAB, Makefile, Objective-C, PHP, Dart, Lua, Vue, Svelte, Zig
    • Configuration: JSON, YAML, TOML, HCL, Markdown
    • Text-based (custom parsers): Text files, PDF
  • MCP integration - Works with Claude, VS Code, Cursor, Windsurf, Zed, etc
  • Real-time indexing - Automatic file watching, smart diffs, seamless branch switching, and explicit backend selection (watchdog, watchman, polling)

Documentation

Visit chunkhound.ai for documentation:

Requirements

Installation

# Install uv if needed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install ChunkHound
uv tool install chunkhound

Quick Start

  1. Create .chunkhound.json in project root
{
  "embedding": {
    "provider": "voyageai",
    "api_key": "your-voyageai-key"
  },
  "llm": {
    "provider": "claude-code-cli"
  }
}

Note: Use "codex-cli" instead if you prefer Codex. Both work equally well and require no API key.

  1. Index your codebase
chunkhound index
  1. Search changed code in recent commits
# Last N commits
chunkhound search "authentication changes" --last-n 20

# Changes introduced by that commit (diff against its parent; root commits use empty tree)
chunkhound search "database migration" --commit-hash abc1234

# Custom git range
chunkhound search "API changes" --commit-range v2.0..HEAD

# Deep research over recent changes
chunkhound research "what changed in the auth module?" --last-n 50

--vector-source controls scope: diff (default, changed code only), both (merges diff + DB), db (ignore diff).

For configuration, IDE setup, and advanced usage, see the documentation.

Why ChunkHound?

Approach Capability Scale Maintenance
Keyword Search Exact matching Fast None
Traditional RAG Semantic search Scales Re-index files
Knowledge Graphs Relationship queries Expensive Continuous sync
ChunkHound Semantic + Regex + Code Research Automatic Incremental + realtime

Ideal for:

  • Large monorepos with cross-team dependencies
  • Security-sensitive codebases (local-only, no cloud)
  • Multi-language projects needing consistent search
  • Offline/air-gapped development environments

License

MIT

Project links

Data verified by PyPI on Jul 12, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

2 maintainers

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Avatar for Hanan_kavitz from gravatar.com Hanan_kavitz Avatar for ofriw from gravatar.com ofriw

Credits

Author: Ofri Wolfus

GitHub Statistics

Data verified by PyPI on Jul 12, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Requires

Python <3.15, >=3.10

Provides Extra

dev native test

Tags

AI agents CAST algorithm MCP code search semantic search vector search

Classifiers

Report project as malware

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Source Distribution

chunkhound-5.2.1.tar.gz (1.3 MB view details)

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5.2.1 This release

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5.2.0a6

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