What if AI memory worked like a brain instead of a vector database?

Reddit r/AI_Agents Tools
open-source ai-agents memory-layer hebbian-graph associative-memory agent-memory brain-inspired

Summary

Introduces FERNme, an open-source memory layer for AI agents that uses a fuzzy Hebbian graph to simulate associative memory, supporting features like zero-LLM writes, persistence, forgetting, and user ownership.

Hi everyone! I built FERNme: an open-source brain-like memory layer for AI agents Most AI agent memory systems rely on vector search or LLM extraction on every turn. FERNme takes a different approach: it uses a fuzzy Hebbian graph where memories strengthen, decay, and spread activation over time, something close to how associative memory works in the brain. It supports: • zero-LLM memory writes • persistent user/project memory • forgetting and preference drift • mood and communication-style memory • outcome-based learning • user-owned, editable memory I’d really appreciate feedback from people building agents: What would make this useful for your own AI assistant or local agent? Also would like to know what you guys are using as memory layer and why?
Original Article

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