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Evaluating Long-Term Memory for AI Agents: AML Cycle 2 Is Now Open

Evaluating Long-Term Memory for AI Agents: AML Cycle 2 Is Now Open

https://x.com/AgentMemoryL· ·1 min read · 0 reactions · 0 comments · 25 views
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TL;DR · WeSearch summary

Agent Memory Leaderboard@AgentMemoryLAgent 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.

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X (formerly Twitter) · https://x.com/AgentMemoryL
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Record

Original publisherX (formerly Twitter)
Canonical URLhttps://twitter.com/AgentMemoryL/status/2101515447816663222
Publication timeMon, 21 Sep 2026 06:24:34 +0000
Retrieval time2026-09-21T06:33:47.617Z
Last seen2026-09-21T06:33:47.617Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusterk4yO8x-L_xtC · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Unknown
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Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Agent Memory Leaderboard@AgentMemoryLAgent 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 · Multimodal Open-source Methods · Commercial Products Over USD 22,000 prize pool for eligible open-source teams. A shared Add/Search interface. Standardized Answer/Eval. Public, comparable results.

Excerpt limited to ~120 words for fair-use compliance. The full article is at X (formerly Twitter).

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