chunkhound/chunkhound

Health v2 · maintenance only

Adoption not part of the score

1445 stars · 138 forks observed · 2026-10-10

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ChunkHound is a local-first codebase intelligence CLI that indexes code with tree-sitter parsing and semantic/regex search, exposing cited context to AI agents via MCP. It combines current code, git history, and web research into implementation-backed answers for agents and teams.

Use cases

• give coding agents cited context about how a codebase works before editing
• search my codebase semantically and with regex locally
• summarize what changed in a branch or release for code review
• trace a stack trace or bug report to the relevant code paths
• run an MCP server that lets Claude Code or Cursor query my repo
• index a monorepo for AI deep research across many languages

When to choose

• you want local-first code search and RAG without your code leaving the machine
• you use MCP-compatible agents like Claude Code, Cursor, or Codex and need deep codebase context
• you need cited answers combining code, git history, and external docs

When to avoid

• you need a hosted or team-shared code search service rather than a local CLI
• you only need simple grep-style search without semantic indexing
• you cannot install Python 3.10+ and uv

Facets

cli-tool · maturity active

search-engine rag mcp parser llm-inference developer-tools developer-tools artificial-intelligence version-control cli python cross-platform windows code-search semantic-search tree-sitter duckdb codebase-intelligence local-first git-history mcp-server code-chunking ai-agents retrieval-augmented-generation search macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="chunkhound/chunkhound")