# Retrieval recall on LongMemEval-S: 99.2% R@5, and how we measured it — Mnemo Memory

> Mnemo's hybrid retrieval puts the right evidence in the top 5 for 99.2% of LongMemEval-S questions — no reranker, no LLM in the loop. Full methodology, per-category breakdown, a depth-sensitivity sweep proving it isn't a candidate-pool artifact, and the limitations we're not hiding.

Canonical URL: https://mnemohq.com/blog/retrieval-recall-longmemeval

Mnemo's hybrid retrieval puts the right evidence in the top 5 for 99.2% of LongMemEval-S questions — no reranker, no LLM in the loop. Full methodology, per-category breakdown, a depth-sensitivity sweep proving it isn't a candidate-pool artifact, and the limitations we're not hiding.

## About Mnemo

Mnemo is long-term memory infrastructure for AI agents. Write facts through the API, retrieve them in natural language across seven fused retrieval signals, and get every answer back with the source attached. US-hosted, model-agnostic, with a free tier of 1K writes and 10K searches per month.

## Explore Mnemo

- [Mnemo API documentation](https://mnemohq.com/docs)
- [Pricing](https://mnemohq.com/pricing)
- [Benchmarks](https://mnemohq.com/benchmarks)
- [Company Brain for Slack](https://mnemohq.com/brain)
- [Ask Mnemo widget](https://mnemohq.com/widget)
- [Data-source connectors](https://mnemohq.com/connectors)
- [Framework integrations](https://mnemohq.com/integrations)
- [Trust and security](https://mnemohq.com/trust)
- [Contact](https://mnemohq.com/contact)
- [llms.txt](https://mnemohq.com/llms.txt)
- [OpenAPI 3.1 specification](https://mnemohq.com/openapi.json)

---

This is the Markdown representation of https://mnemohq.com/blog/retrieval-recall-longmemeval, served by content negotiation on `Accept: text/markdown`. Machine-readable index: https://mnemohq.com/llms.txt · https://mnemohq.com/openapi.json · https://mnemohq.com/sitemap.xml
