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.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Give AI coding agents persistent memory for project context and decisions.
Give coding agents local structural memory for leaner, refactor-safe development.
Give AI coding agents persistent memory and codebase context retrieval.
Give AI coding agents local-first persistent memory for more consistent development.