Travsr
Code Graph that lives next to git.
What it does
AI coding tools rely on grep or vector RAG they don't understand your code's call graph or types, so asking about charge() surfaces every unrelated match. Travsr builds a deterministic code graph (tree-sitter + semantic resolution, local SQLite) exposed to AI agents via MCP for precise, ranked answers instead of guesses. 26 first-party tools, 16 languages, VS Code graph view. Open source, Apache-2.0.
Graph-native, always-fresh code intelligence for AI agents.
Not grep. Not vector RAG. Travsr builds a live, deterministic graph of your codebase on every commit and exposes it via MCP so AI agents traverse real structure instead of guessing from text. Tree-sitter and LSIF produce an exact call graph, type graph, and import graph. No embeddings, no regex guesswork, no approximations. A git post-commit hook reindexes changed files on every commit, so the graph aims to stay in step with your code. Seventeen query tools over stdio or SSE, twenty-six in single-repo mode. Works with Claude, Copilot, any agent that speaks Model Context Protocol. travsr init detects the AI coding tools you have installed, Claude Code, Cursor, Copilot, Windsurf, Zed, and…from travsr.com
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