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Memory Benchmark

Overview

Kimetsu's house rule is that every claim ships with a measurement.

Kimetsu's house rule is that every claim ships with a measurement. This section documents how we measure the brain and what the numbers are, so you can check them rather than take our word for it.

The headline numbers

benchmarkresult
LoCoMo89.4% (1,540 questions, LLM-judged accuracy)
BEAM 100K73.3%, matching the prior public state of the art, model-free
BEAM 1M66.0%, ahead of mem0's self-reported 62%
LongMemEval (_s)83.0% (200-question stratified slice)
BrainBench quality index80.0% (142 scenarios, reader-free)
retrieval qualityrecall@4 0.949, MRR 0.914 at ~138 ms
stale-hit rate0.091 (was 0.500 on flat retrieval)
cost per solved task~13x cheaper than a no-brain baseline

Every result uses jina-v2-base-code + the ms-marco-tinybert-l-2-v2 cross-encoder reranker unless noted, and the memory pipeline makes zero LLM calls: the reader in the public benchmarks answers questions, it never stores or retrieves.

How this section is organized

We measure on three layers, one page each plus the comparison:

  1. Retrieval and correctness: the in-repo bench that gates every release. Recall, MRR, latency, stale-hit rate, and contradiction resolution, runnable with kimetsu brain bench.
  2. BrainBench: our own reader-free capability benchmark. It drives the real binary across difficulty tiers and scores dedup, forgetting, importance, and calibration, the write-path behaviour a reader-driven test can't see.
  3. Public benchmarks, directly comparable to other memory systems: LongMemEval (chat-domain, per-question-type) and BEAM (ten memory abilities over long multi-session chats).
  4. How Kimetsu compares: the honest side-by-side against mem0, Cognee, Zep, and Letta, including where they lead.

On this page