P1
Modular
Each organ system is independently deployable. Adopt what you need.
A Collective AI Brain for Teams, Companies, Organizations, and Cities
It's scattered across Slack threads, stale docs, meeting notes, and the person who left six months ago.
The question isn't whether your team has collective intelligence. It's whether you can access it.
AIOS is the missing layer that makes collective intelligence queryable, actionable, and alive.
Each organ system is independently deployable. Adopt what you need.
MIT licensed, community governed. The standard, not a product.
Every action is policy-governed. Organizations define what's autonomous and what requires human approval.
Individual agent data is personal by default. The collective brain receives only what members choose to share.
Agent spawning is permissioned by organizational policy.
Query the AI instead of scheduling a sync. Get a coherent answer about what any team is working on, instantly.
The global brain as a new kind of team member. Feedback at individual and collective levels: what we do well, where we drift, whether to reconsider our target.
Permissioned agents take on more of the actual work over time. Humans focus on judgment; agents handle execution.
Onboard a new person in minutes. Every decision, rationale, and failed experiment. Nothing is lost when someone leaves.
Queryable shared brain; everything the org knows, structured and retrievable.
Pipes from Slack, Drive, Notion, Linear, GitHub, meeting notes.
Decides what surfaces and what stays quiet; prioritizes signal over noise so the brain informs without overwhelming.
Policy-governed agents that act in the world on behalf of the collective.
Who belongs, with what role and permissions; the root of everything.
The constitutional layer; what's autonomous, what needs approval, who decides.
Immutable record of every action, query, and ingestion event; the trust layer.
Closes the loop; the brain learns from outcomes over time.
A pre-configured NemoClaw setup for each individual agent. Every member starts with a tuned, ready workstation, not a blank slate.
The playbook for getting people and their agents productive fast. Codified practice, not tribal knowledge.
Pre-configured setups for specific industries (legal, and beyond). Domain policies, sources, and workflows out of the box.
The hard problems, and what comes next.
Too many signals, too much noise. Attention and prioritization is the hardest design challenge. A brain that pages you about everything is worse than no brain at all.
The system is only as good as what people post. Social design matters as much as technical design.
Building a coordination system requires coordinating the builders. Early decisions set the cultural tone permanently.
Earned incrementally. Start narrow, demonstrate reliability, expand scope.
What is the unit of knowledge? How information is represented decides whether the whole thing is queryable or just a fancier search index.
10–50 person companies that are AI-native, already running internal agents, feeling the coordination pain.
Ingestion from 2–3 sources, a queryable knowledge layer, and a basic policy engine.
Establish the project charter, contribution model, and decision process before there are contributors.
Every institution that exists today was designed for human actors. We are building the infrastructure for what comes next.