Show HN: Agent Memory Leaderboard – first public results for AI memory systems
两大赛道，连续三个月，以统一评测合同检验 Agent 记忆能力。
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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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