Summary
Engram is a new brain-inspired context database designed to prevent "context collapse" in long AI agent and LLM sessions. It addresses the issue where models forget or mix up information in extended conversations by treating AI memory more like human memory. This system aims to provide a persistent and more robust memory layer for AI agents by storing knowledge incrementally and associating related concepts.
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