
Dakera Memory Engine Benchmark: 1M Vectors, Sub-2ms, No LLM
Reproducible benchmark of Dakera's memory engine: SIFT1M at 0.93 recall@10 and sub-1ms p99, GIST and real text embeddings. No GPU or LLM, full harness.
Dakera AI Team
Benchmark results, methodology and how to read memory benchmarks.

Reproducible benchmark of Dakera's memory engine: SIFT1M at 0.93 recall@10 and sub-1ms p99, GIST and real text embeddings. No GPU or LLM, full harness.
Dakera AI Team

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 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
No posts in this category yet.