CogmemAi — Cognitive Memory for Any Ai System. Autonomous robots, self-driving vehicles, defense systems, coding assistants, and more. 91% LoCoMo benchmark — above human performance.
This repository also configures its own agents. See what cogmemai-mcp tells them →
Skill Claude CodeCodex
Persistent memory management for Ai coding assistants using CogmemAi. Use when the user mentions "memory", "remember this", "save this for later", "what do you know about", "project context", "session summary", "forget this", "clean up memories", or when starting a new session. Also use when discussing architecture…
Skill Claude CodeCodex
Persist a specific fact, preference, or decision the user just stated using CogmemAi, so it carries across all future sessions. Use the moment the user says "remember this", "remember that", "don't forget", "make a note", "keep this in mind for next time", "from now on", "going forward", or states a personal/project…
Skill Claude CodeCodex
After resolving any bug, save what broke, the root cause, and the fix as a CogmemAi memory so the same problem never has to be debugged twice. Use immediately after a bug is fixed, after diagnosing a flaky test, after recovering from a production incident, or after the user says "got it working", "that fixed it"…
Skill Claude CodeCodex
Save the current conversation context as a persistent memory using CogmemAi so it survives compaction, session end, or model handoff. Use when the user says "save context", "save this conversation", "write this down", "don't lose this", "checkpoint", "save state", or when the context window is filling up and important…
Skill Claude CodeCodex
Before debugging any new bug, error, or unexpected behavior, search CogmemAi for an existing fix from this or any prior session. Use the moment a bug, error message, stack trace, failed test, or unexpected behavior appears, BEFORE running diagnostic commands or reading code. Eliminates duplicate debugging across the…
Skill Claude CodeCodex
Load persistent project memories from CogmemAi at the start of every session, so the assistant resumes with full context from prior conversations. Use as the very first action when a new session begins, when the user greets the assistant, when context has been compacted, or when switching projects. Calling this once…
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