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Model-agnostic cognitive architecture for LLMs

Event-sourced runtime for reconstructable AI identity, memory, reflection, commitments, and auditable cognitive continuity. I built it at home on an i7-10700K / 32GB RAM / RTX 3080 because I was curious whether an AI could keep a stable “mind” over time, that could "think" about it's own identity as an LLM, instead of resetting every session.

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46 stars · GitHubexternal site

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