Show HN: Agent Memory Leaderboard – first public results for AI memory systems

IreneAI1 pts0 comments

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 Products136 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 — 44.21The benchmark uses a common evaluation framework and a clearer system boundary:Memory system: Add → Search Benchmark: Answer → EvalThe goal is to make memory-system results more comparable and reproducible.

memory first results evaluation system agent

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