Ahmed-Mazh2r
UserEnhance AI agents with metacognition and persistent memory to improve thinking processes and retain context across sessions.
Categories
Indexed Skills (2)
agentmind-memory
Persistent cross-session memory system for AI agents. Four-layer architecture (Working/Episodic/Semantic/Procedural) stored as local Markdown files — human-readable, human-editable, zero dependencies. Your agent remembers user preferences, project context, lessons learned, and daily events across conversations. Pairs with agentmind-metacognition for a complete "brain OS."
agentmind-metacognition
A meta-cognitive thinking protocol for AI agents. Not a tool for specific tasks, but an operating system for HOW your agent thinks. Provides intent decoding, difficulty assessment, risk prediction, execution monitoring, delivery verification, and growth reflection. Prevents common AI failure modes like fake completion, mid-task amnesia, stale data, and vague filler. Works with any LLM-based agent (Claude, GPT, Gemini, etc).
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.