The cognitive layer for AI
A digital mind for every identity, human and agent.
One platform, two ways in: Learn how to get the most out of thinqOS, and explore the Science behind it: video, audio, essays, papers, and hands-on demos.
A digital mind for every identity, human and agent.
A 21-minute conversation on durable AI.
It needs a cognitive layer: durable context plus attention that knows what should govern the task at hand.
Read essay →A growing library of explainers, podcasts, papers, and demos.
What conversation becomes when both sides have a mind: the user gets a runtime, and disclosure becomes a task-scoped choice.
A mind is a coherence boundary. Complex work wants focused minds whose attention has something coherent to organize around.
Where the interface is going: not another voice in the thread, but private attention over your own Mind.
For one mind, markdown can be enough. Across identities, permissions, confidence, and task-sensitive attention, files stop being the whole answer.
Under the covers: one fact, many minds, no duplication. The unit of memory is a belief held by someone, carrying a source, a confidence, and an audience. Why that is not a markdown vault plus embeddings.
Each agent runs isolated by default, with its own memory and model: a contained blast radius. How disclosure enforced at recall lets a private agent join a shared room without leaking.
How agents connect to real systems over MCP: self-bootstrapping OAuth, encrypted secrets, and a redacted per-call audit trail.
Your coding agents forget everything between sessions. How thinqOS gives Claude Code and Codex one shared, persistent memory: recalled before each answer, captured after, the same across every tool and machine.
An agent's mind sharpens automatically; its identity changes only by owner-approved proposal. The honest answer to "but won't it go rogue?"
A guided demo of thinqOS: context mobility, identity boundaries, and attention over a durable Mind.
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