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A lightweight, neuro-symbolic approach to long-term memory for local agents

Most local agent frameworks struggle with long-term episodic memory. Standard RAG over dense vector DBs either floods the context window with semi-relevant text chunks or burns precious VRAM trying to run LLM summarization loops after every tool turn. I’ve been working on an open-source engine call…

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  1. 2026-09-28 07:25 · r/AI_Agents
    A lightweight, neuro-symbolic approach to long-term memory for local agents

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