SOTA long memory eval with open source models
We built a multi-stage retrieval system that scores among the best on LongMemEval, using only open-source models. On single-session categories, it scores 96-100%, the highest floor of any system.

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Empirical proof of SOTA LLM (GPT-5/Gemini-Pro/Claude-Pro) context saturation in complex engineering. Contains the "Misuraca Protocol" for deterministic logical segmentation to prevent entropy drift.
OpenLake is a high performance storage engine for efficient LLM inference and GPU Training
A memory framework for Large Language Models and Agents.
Honcho
github.comOpen-source memory infrastructure, powered by custom models
Explore large language models in 512MB of RAM