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. Integrates via MCP.
Features
cAST Algorithm - Research-backed semantic code chunking
- Research-backed semantic code chunking Multi-Hop Semantic Search - Discovers interconnected code relationships beyond direct matches
- Discovers interconnected code relationships beyond direct matches Semantic search - Natural language queries like "find authentication code"
- Natural language queries like "find authentication code" Regex search - Pattern matching without API keys
- Pattern matching without API keys Local-first - Your code stays on your machine
- Your code stays on your machine 30 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, Vue, Svelte, Zig Configuration : JSON, YAML, TOML, HCL, Markdown Text-based (custom parsers): Text files, PDF
with structured parsing MCP integration - Works with Claude, VS Code, Cursor, Windsurf, Zed, etc
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