memory-stream-retrieval-reflection-lets-agents-behave-consistentlymechanismsingle paper
A memory stream with retrieval and reflection lets agents behave consistently over simulated days.
Capability: Remembering across sessions
Sources
- A memory stream with retrieval and reflection lets agents behave consistently over simulated days.
Disagreeing is the most useful thing you can do here. Both sides of every contested claim in this catalog were assembled by the same person, which is its weakest point.
Related claims
- For persistent-memory agents, any memory-write rule that decides using only recency and provenance is stuck on a single tradeoff — accepting more genuine preference updates means admitting more poisoned ones — because an adversary who can launder a claim through the user's own channel matches the statistics a genuine revision produces; conditioning the write decision on the inferred authenticity of the claim given the interaction history moves both axes at once.Remembering across sessions · unreviewed
- In partially observable text environments (ALFWorld, ScienceWorld), letting an LLM agent query an externally maintained state estimate that keeps an explicit distribution over unobserved object locations raises task success more than querying a deterministic memory of what has already been observed, and the gain shrinks to near zero on a frontier model that already nearly saturates the benchmark.Tracking state through a long task · unreviewed