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2026-01-12 17:06:01 -

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2026-01-12 17:06:01 -

Memory management is one of the trickiest problems in building useful AI agents - most approaches require manual rules to decide what context to keep vs. store long-term. This research proposes letting the LLM learn to manage both memory types through the same mechanism it uses for text generation. Elegant solution to a fundamental bottleneck.

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How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents

How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers? Can a single policy learn to manage both memory types through the same action space as text generation? Researchers […] The post How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents appeared first on MarkTechPost.

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