Tech Reports

Read cognee's tech reports: how we evaluate agent memory on public benchmarks such as BEAM and LoCoMo, what the Rust engine does on device, and what persistent memory costs in tokens. Each post covers the method and the results, and links to the full report.

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Tech ReportsNov 11, 2026

cognee on LoCoMo: 91% on Long-Term Conversational Memory

cognee answers 91% of 1,762 evaluated LoCoMo questions correctly with standard memory components, one answer prompt and a strict LLM judge. Exclusions, prompts and records are published.

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Tech ReportsJun 26, 2026

cognee on BEAM: SOTA Results Without a Benchmark-Specific Memory System

cognee beat SOTA on BEAM's 100k-token setting by 6.5% and matched SOTA at 10M tokens using only default open-source features — no custom benchmark-specific architecture.

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Tech ReportsJun 26, 2026

Technical Note: Understanding the Token Cost of Persistent AI Memory

Persistent memory trades an upfront ingestion cost for cheaper queries. We measure where the tokens go in cognee, model the trade-off, and find break-even at roughly 23–26 repeated queries — after which the gap keeps widening.

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Tech ReportsJun 26, 2026

cognee on-device: Bringing Agent Memory to the Edge

The cognee core rebuilt in Rust, bringing the full agent memory pipeline — graph construction, embeddings, and retrieval — to phones, robots, and offline environments without a server-side stack.

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