Agent Memory Leaderboard – first public results for AI memory systems

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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 representative memory frameworks completed the first evaluation. Commercial Products — Text Memory: 1. MemoraX — 58.02 2. MemOS — 45.89 3. NTES-MEMORY-SMART — 44.21 The benchmark uses a common evaluation framework and a clearer system boundary: Memory system: Add → Search Benchmark: Answer → Eval The goal is to make memory-system results more comparable and reproducible.

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   2026年8月13日 · 1 次收录