{"id":"chunkhound","name":"ChunkHound","homepage":"https://github.com/chunkhound/chunkhound","repo_url":"https://github.com/chunkhound/chunkhound","category":"developer-tools","subcategories":["code-intelligence","search","codebase-analysis"],"tags":["code-intelligence","mcp","semantic-search","tree-sitter","embeddings","codebase-analysis","local-first","python","multi-language"],"what_it_does":"Local-first codebase intelligence tool that uses semantic code chunking (cAST algorithm), tree-sitter parsing, and multi-hop semantic search to analyze code repositories. Extracts architecture, patterns, and institutional knowledge from codebases. Supports semantic search, regex search, and LLM-powered code research across 30+ languages.","use_cases":["Semantic natural language search across large codebases (e.g. 'find authentication code')","Discovering interconnected code relationships via multi-hop semantic search","Understanding unfamiliar codebases through AI-powered architecture analysis","Regex-based code pattern matching without requiring API keys","Real-time code indexing with file watching for development workflows","Cross-team dependency analysis in large monorepos"],"not_for":["Simple text search - overkill for basic grep-style needs","Projects with fewer than a handful of files - overhead not justified","Environments where embedding API costs are a concern and local Ollama is not viable"],"best_when":"You work with large or unfamiliar codebases and want AI-powered semantic understanding beyond simple text search, especially with Claude Code or other MCP-compatible editors.","avoid_when":"Your codebase is small enough that grep/ripgrep suffices, you cannot run local embedding models and don't want API costs, or you need instant zero-setup search.","alternatives":["Sourcegraph","GitHub code search","cclsp (LSP-based approach)","Aider's repo map","Continue.dev codebase indexing"],"af_score":72.7,"security_score":75.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"4.0.1","last_evaluated":"2026-03-01T09:50:05.376495+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}