Metacog: Proprioception, Not Yet Another Memory MCP: A Different Approach to Cross-Session Learning Reinforcement in AI Agents
r/artificial
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Generative AI
AI Tools
TL;DR: Everyone's building memory plugins for AI coding agents. I'm not sure that stale, past memory of tasks executed is the right way forward for this application. Intelligence has metacognition, the ability to think about how you're thinking. Source (or read on): github.com/houtini-ai/metacog So, I built a nervous system instead. Two Claude Code hooks, zero dependencies. The key insight: treating the agent's context window like a filing cabinet doesn't work, because the agent has to know what it forgot in order to ask for it.