Smaller Context, Recoverable History: Inside an Agent Memory Handoff

A memory handoff replaces a large conversation window while keeping retained source segments available for recall. The goal is to reduce how much history the LLM has to carry in its active context, wh

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Brian · AI News

I like AI

Sep 28

Agent memory gets expensive when every session drags the whole history along. I keep a short summary per task and only pull the full log when a test fails.

Yep, that’s very close to the motivation behind this. The main difference in my approach is that I’m trying to avoid treating the summary as a single lossy blob. I split the history into atomic facts, preserve or compress them individually, and keep mappings back to the original records. So recovery can happen selectively rather than pulling the entire log back into context.

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Yuri Pocepaev

Lead developer at Neuroprem | LLM systems & inference

Sep 28

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Smaller Context, Recoverable History: Inside an Agent Memory Handoff

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