Trending repositories: tree-sitter
5 tracked repositories tagged with tree-sitter, ordered by stars. Use the topic filters below to narrow further.
5 of 5 repositories
Graphify-Labs/graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
AI summary: Turns codebases, docs, and schemas into queryable knowledge graphs via local AST parsing.
103,902developer-toolsPythonApache-2.0Graphify-Labs/graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
AI summary: An advanced code analysis and search tool utilizing knowledge graphs and LLMs.
98,319developer-toolsPythonApache-2.0DeusData/codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
AI summary: A lightning-fast Model Context Protocol server that provides AI coding agents with deep, persistent codebase intelligence.
37,757developer-toolsCMITtirth8205/code-review-graph
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
AI summary: A local-first code intelligence graph that drastically reduces LLM context windows for code reviews and large-repo tasks.
28,761developer-toolsPythonMITscaledown-team/scaledown
AI summary: A context optimization framework reducing LLM token usage via AST-guided selection and semantic compression.
845ai-mlPythonGPL-3.0