mache

Mache parses codebases to discover their structure and exposes it as a navigable graph via MCP tools or a filesystem mount. It allows agents to explore call chains, jump to definitions, and read context without grepping flat files. Built for AI agents, it provides stable node paths and identity-preserving write-back.

mache is currently grouped under Data Processing, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Tree-sitter parsing (28 languages) and Agent-based code exploration and navigation. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 41 GitHub stars.