code-analysis

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.

A code-completion engine for Vim

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

Documentation and issues for Pylance

Various code metrics for Python code

Static Code Analysis - 静态代码分析

AI-first security scanner. NEW in v2026.7: Claude Code compromise detection — vet .claude/ hooks, permissions & skills before you clone — plus an always-on AI attack-signature scanner and native Rust & PHP rules. Also: medusa scan --git to vet any repo, medusa secrets scan for leaked API keys. 40,000+ patterns, zero setup.

⭐ Pretty-print `git` repository collaborators sorted by contributions

Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.

AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.

AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.

multilspy is a lsp client library in Python intended to be used to build applications around language servers.

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.

Static Python dependency graph with interactive HTML visualization, massive object detection, and unlinked module analysis (no code execution).

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

MCP Server for Tree-sitter

You don’t need to read the code to understand how to build!

Bears for coala