Agent Memory Leaderboard Open-Sources Evaluation Code Across Multiple Datasets
AIwithGhotai · x · 2026-08-07
The AML-memory team has released the evaluation code for the Agent Memory Leaderboard on GitHub, aiming to benchmark the memory capabilities of AI agents.
The release includes answer-generation and evaluation contracts for several public datasets like locomo-refined and longmemeval-s. Requiring Python 3.10+, the codebase discloses detailed runtime parameters such as concurrency, timeouts, and production configurations, though internal deployment code and credentials remain excluded.
Related event: Agent Memory Leaderboard Open-Sources Evaluation Datasets(2 posts)→
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