We build the memory layer that lets AI systems reason across time.
Mekhos AI Labs is a deep tech company researching agentic architectures and long-horizon memory systems — the infrastructure underneath AI applications, not another app on top of one.
Most AI products forget everything the moment a session ends. We think that's a systems problem, not a feature gap — so we work at the layer below the interface: how an agent stores, retrieves, and reasons over what it has seen.
Three problems we work on
Agentic architectures
Multi-step agent systems that plan, act, and correct course — designed to run reliably outside a demo.
Long-horizon memory
Storage and retrieval systems that let a model keep context across sessions, documents, and months of use.
Agentic document extraction
Pulling structured, verifiable information out of messy real-world documents at scale, with an agent checking its own work.
ONETUZA Educational Intelligence
Our first product, built directly on Mekhos memory and agentic research. Onetuza applies long-horizon memory to education — an intelligence layer that remembers a learner's history and reasons over it, rather than starting from zero every session.
Visit OnetuzaNotes from the lab
Research, engineering, and ideas from the lab.