mex

mex provides persistent, navigable project memory for AI coding agents, allowing every session to start with the right context instead of a cold prompt. It structures agent memory through a markdown scaffold, offers CLI tools for drift detection against the real codebase, and synchronizes context to keep agents aligned and reduce token usage.

mex is currently grouped under Memory & Context, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Creates a structured markdown scaffold for AI agent memory (e.g., AGENTS.md, ROUTER.md, context/, patterns/). and Maintaining consistent project context for AI coding agents across multiple sessions.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 1.2k GitHub stars.