Beyond Context Windows: Evaluating Long-Term Memory for AI Agents
Frames evaluation of long-term agent memory, a gap retrieval-only tests leave open.
3 items · 2 sources · 3 days
Operational story trace
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An open-source repo (Oct 11) stores coding-agent long-term memory as a tree of plain files, a simple alternative to a dedicated memory service.
A Sep 22 post asked how to evaluate agent memory beyond the context window. PACMI (Oct 5) then shifted the focus to keeping memory correct by invalidating stale entries.
Arc
Frames evaluation of long-term agent memory, a gap retrieval-only tests leave open.
Adds provenance-aware invalidation for memories that go stale.
A file-tree implementation of long-term memory for coding agents.
Frames evaluation of long-term agent memory, a gap retrieval-only tests leave open.
Adds provenance-aware invalidation for memories that go stale.
A file-tree implementation of long-term memory for coding agents.
What to watch — open questions
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