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Give AI coding agents persistent memory, scaffolding, and drift detection.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mex" yet — see the docs or source repo.
Initialize mex project memory for this Python web app. Create a structured scaffold capturing the tech stack, folder conventions, coding standards, deployment approach, and current milestones.
A maintainable project memory scaffold that clearly captures project context, rules, and key conventions.
Use mex to detect drift between the current codebase and the saved project memory. List mismatches and recommend whether to update memory or fix the code.
A drift report highlighting mismatches between memory and code, with actionable remediation suggestions.
Using the project memory stored in mex, generate a concise onboarding brief for a new AI coding agent, including project goals, key modules, constraints, and next tasks.
A concise handoff brief that helps a new agent ramp up quickly with minimal context loss.
Give AI coding agents searchable local project memory with safe structured updates.
Keep persistent project memory for coding agents with a compact repo digest.
Store coding history, decisions, and fixes for AI agents in your repo.
Give AI coding agents persistent cross-session memory for project knowledge.
Give coding agents persistent, evidence-backed project memory across sessions.
Give AI coding agents persistent memory across sessions for decisions and debugging context.