AI agent memory benchmarks: finding evidence is only half the test
We tested six memory systems on 1,536 questions to see whether finding the right information actually helps an AI agent give a better answer.

How do agents remember useful work, recover after a reset, and find the right decision? Explore practical guides to agent memory and research that explains what the benchmarks really measure.
We tested six memory systems on 1,536 questions to see whether finding the right information actually helps an AI agent give a better answer.
Give every AI agent persistent, searchable memory across sessions, MCP tools, repositories, and teammates.
Connect persistent, searchable memory to any MCP-compatible agent without building a custom memory SDK.
Restore decisions, open work, gotchas, and recent lessons when a long agent conversation is compacted or resumed.
See the public datasets, retrieval metrics, answer checks, baselines, limitations, and claim rules behind Engram's published results.
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