Dakera Memory Engine Benchmark: 1M Vectors, Sub-2ms, No LLM
Reproducible benchmark of Dakera’s memory engine — SIFT1M (0.93 recall@10, sub-1ms p99), GIST 960-dim, and real cosine text embeddings — no GPU or LLM, with the full harness.
Dakera AI Team
Blog category
Benchmarks
Benchmark results, methodology and how to read memory benchmarks.
3 posts
AI Agent Memory Benchmarks 2026: LoCoMo, MTOB, and Beyond
Comprehensive guide to AI memory benchmarks in 2026. Compare LoCoMo, MTOB, and evaluation methods for agent memory systems with real score breakdowns.
Dakera AI Team
How We Benchmark Memory: Dakera on LoCoMo
How Dakera benchmarks agent memory with LoCoMo: methodology, the 88.2% Recall@20 score broken down by category, and exactly what the number measures.
Dakera AI Team
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