Codeknow

Turn any codebase into a queryable knowledge graph. Health scores, drift detection, impact analysis, onboarding guides -- all from your AST.

Most code intelligence tools need embeddings, vector stores, or LLM API keys before they do anything useful. Codeknow builds a real graph from your source code using tree-sitter AST parsing -- 25+ languages, zero configuration, no API keys required. The graph is a NetworkX DiGraph: nodes are symbols (functions, classes, modules), edges are relationships (imports, calls, inheritance). Every analysis command operates on this graph directly.

It works standalone or as a force multiplier for AI coding assistants (Claude Code, Cursor, Gemini CLI, Codex, and more).

That's it. Open codegraph-out/graph.html for the interactive visualization, or codegraph-out/GRAPH_REPORT.md for the architectural report.

Language detection is automatic. Each language has a dedicated tree-sitter extractor.

Zero-LLM default mode : The core pipeline (parse, build, analyze, simulate, discover, debt, drift, onboard, security, test-impact, owners, refactor-plan) works without any API key. LLM integration is optional for natural language queries, enriched reports, and community labeling.