Benchmarking the Keep memory system with LoCoMo

Show HN: Benchmarking the Keep memory system with LoCoMo

Operating in show hn launch, Benchmarking the Keep memory system with LoCoMo operates.

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Summary:keep (https://github.com/hughpyle/keep/, MIT-licensed) is a skills practice wrapped around an implementation of "memory for AI agents".The practice is this: repeated reflection on means and outcomes, so that skillful action improves over time. But the raw implementation of memory is its foundation. Without working memory, you can't iterate.Similarly, without benchmarks, you can't tell what works. Today we're publishing results for the LoCoMo benchmark.Scores: 76.2% overall (weighted average)Single-hop 86.2% (841 questions) Temporal 68.5% (321 questions) Multi-hop 64.2% (282 questions) Open-domain 50.0% (96 questions)The linked blog post has more detail including industry comparisons.

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

The company is listed at the Show HN launch stage of development.

Website: keepnotes.ai/blog/2026-02-28-benchmark