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IreneAI

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  1. Evaluating Memory Systems for AI Agents Is Harder Than It Looks (x.com)
    1 points 0
  2. Show HN: AML CYCLE 2, a benchmark for long-term agent memory (x.com)
    1 points 0
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  4. Beyond Context Windows: Evaluating Long-Term Memory for AI Agents (twitter.com)
    1 points 0
  5. Evaluating Long-Term Memory for AI Agents: AML Cycle 2 Is Now Open (twitter.com)
    1 points 1
  6. How should we evaluate whether an AI agent's memory is still current? (twitter.com)
    1 points 0
  7. Show HN: An open Add/Search evaluation framework for agent memory (agentmemoryleaderboard.ai)

    Hi HN, We are trying to make different Agent Memory systems comparable without letting each team choose its own answer model and evaluation pipeline.

    1 points 2
  8. Coding Memory Helps Agents Reuse Engineering Experience (twitter.com)
    1 points 0
  9. GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent Memory (twitter.com)
    1 points 0
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  11. What should a fair benchmark for Agent Memory look like? (agentmemoryleaderboard.ai)
    1 points 0
  12. Show HN: Agent Memory Leaderboard – first public results for AI memory systems (agentmemoryleaderboard.ai)

    We just released the first public results from the Agent Memory Leaderboard (AML). The first evaluation focuses on Text Memory across two tracks: - Open-source Methods - Commercial Products 136 teams registered, and 69…

    3 points 3
  13. Show HN: SWE-ContextBench – A Benchmark for Context Learning in Coding Agents (github.com)
    2 points 0
  14. Excited to see the results of the agent memory leaderboard (x.com)
    1 points 0
  15. How should we evaluate memory for AI agents? (x.com)
    6 points 5
  16. Show HN: A fixed harness for comparing LLM agent memory systems (github.com)
    1 points 0