86.5% accuracy. ~$0.007 per session. See how Redis stacks up in the Agent Memory Benchmark.
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Agent memory benchmarks aren't apples to apples. Different models, judges, and test setups make vendor scores hard to compare.
So we put the systems we could reproduce through the same 500-question LongMemEval benchmark, using the same judge and GPT-4o as the answer model wherever we could set it.
Get the results across accuracy, cost, and latency, plus the methodology behind them. Use the data to compare your options before you commit to a memory layer.
Remis + Instruct scored 86.5% task-averaged accuracy, the top result among production systems we reproduced on GPT-4o.
It delivered accuracy effectively level with the best managed service we tested, which used a stronger answer model.
At about $0.07 per session, Remis + Instruct cost less than one-third as much as other systems we reproduced above 80% accuracy.
Published results differed from what we measured by as much as 28 percentage points, in both directions.
The methodology is public, so you can reproduce the benchmark and test it against your own workload.
Get the full leaderboard, accuracy and cost breakdowns, latency results, and methodology behind the benchmark.