Agents need a new way to get reliable context
As models get better at reasoning, context is what separates a dependable agent from an unpredictable one. To build the best context layer, teams bolt on three systems: retrieval, to surface what’s relevant; memory, to adapt to the user; and graph, to capture relationships.
They burn months assembling this fragmented stack across multiple vendors and specialists. When the agent fails, observability calls for another vendor contract. Their focus shifts from building the core product to plumbing an unreliable context layer.
Nexo is the observable knowledge engine for agents.
Nexo unifies retrieval, memory, and graph into a single engine, with governance and observability as first-class capabilities. Each answer becomes part of a safe, traceable loop that takes only one SDK to set up. When the agent fails, teams get immediate insight into why and how to improve it. We call this loop knowledge.
Nexo runs where your agents run. You can deploy it on your cloud or use it as a fully managed service alongside any model. With knowledge, you get the context layer that keeps your agents dependable.
We’ve seen this break before.
We’re a small team with over a decade of experience spanning search, infrastructure, and product. We’ve seen context throttle agents at scale, and we solved it the hard way, by assembling the fragmented stack ourselves.
Now we want you to skip that pain and spend your time building what matters most. That’s why we’re building Nexo.