@omarsar0: Recommended if you work on agent memory. Retrieval is the hardest memory problem in most harnesses because agents keep …
Summary
The tweet from @omarsar0 recommends focusing on agent memory retrieval and announces the opening of the Agent Memory Challenge 2026 Cycle 2, which evaluates memory in AI agents using coding and text tracks.
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Cached at: 09/23/26, 12:08 PM
Recommended if you work on agent memory.
Retrieval is the hardest memory problem in most harnesses because agents keep pulling stale context.
AML tests this with a coding track of 150 software tasks, each run with relevant history and again with noisy history.
Agent Memory Leaderboard (@AgentMemoryL): Agent Memory Challenge 2026 Cycle 2 is now open.
Long-term memory is not just about storing more history. It is about retrieving the right evidence, recognizing what has changed, and avoiding stale context when an agent needs to act.
Three tracks: Textual · Coding ·
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