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chunkhound
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chunkhound

Active·★ 1.3k·MIT·Updated 2026-05-29
★ Code Assistant★ RAG / Knowledge Base

Local first codebase intelligence

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

#codebase intelligence#semantic search#code analysis#local-first
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#AI assistant
#code research
#multi-hop search
#developer tools
$ Install
$ curl -LsSf https://astral.sh/uv/install.sh | sh && uv tool install chunkhound
↗ Visit site★ GitHub
01

Features

01Semantic code chunking via cAST Algorithm for deep understanding.
02Multi-hop semantic search discovers interconnected code relationships.
03Local-first operation ensures your code stays on your machine for privacy.
04Supports structured parsing for over 30 programming and configuration languages.
05Real-time indexing with automatic file watching and smart diffs.
02

Compatibility

Python
Runtime
Verified via docs
uv
Package Manager
Verified via docs
Multiple Programming Languages
Codebase Analysis
Verified via docs
IDEs/LLMs (via MCP)
Integration
Verified via docs
03

Quick start

1
$ curl -LsSf https://astral.sh/uv/install.sh | sh
2
$ uv tool install chunkhound
04

Use cases

↳Managing large monorepos with complex cross-team dependencies.
↳Analyzing security-sensitive codebases in a local-only environment.
↳Projects requiring consistent search across multiple programming languages.
↳Development in offline or air-gapped environments.
05

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Related searches

chunkhound AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Basechunkhound Tutorialchunkhound Vs Competitorscodebase intelligencesemantic searchcode analysis

Comments

Log in to leave a comment
  • R
    Reese WilsonApr 24, 2026

    Used for large codebase navigation with privacy requirements. Solid performance on multi-repo setups.

  • J
    Justice WhiteApr 15, 2026

    Fast local indexing means the intelligence is available immediately without cloud round trips.

  • R
    River JohnsonMar 21, 2026

    Local-first codebase intelligence without sending code to remote services is the right privacy model.

  • K
    Kendall ClarkMar 10, 2026

    The chunking approach for codebase understanding is semantically aware, not just text splitting.

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1d ago
StatusActive
LicenseMIT
CategoryRAG / Knowledge Base
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