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

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.