One system that knows your whole company

Founder OS is an AI operating system for solo founders and teams of two or three. Running a company alone does not fail because you lack tools — it fails because you own every role at once. You are the product manager, the marketer, the researcher, the support rep and the person doing invoices, and the real cost is not the work itself but the fragmentation between the tools that each hold a piece of it. Your roadmap lives in one app, your issues in another, your revenue in a third, your promises to customers in a DM thread. Each tool is internally consistent and none of them knows the company.

Most AI products answer this with a better chat box. That helps with isolated tasks — write this post, summarise this document — and then forgets everything the moment the tab closes. A co-pilot that starts from zero context every morning is not a co-founder. Founder OS is built the other way round: the conversation is the interface, but the product is the state underneath it.

The Company State Engine

At the centre is the Company State Engine: a canonical, living model of your company covering goals, projects, tasks, decisions, metrics, people and meetings. It is fed three ways — passively observed from the tools you connect, handed over directly in the documents you give it, and written by the system itself as agents learn. A hygiene layer keeps it honest: a write gate rejects low-confidence or contradictory updates, a reconciler merges the same project arriving under three different names from three different tools into one entity, and decay marks state that nothing has touched in a long time so stale work surfaces instead of quietly rotting. The result is a written answer to what is actually going on that you did not have to assemble by hand.

Agents that use that state

On top of state sit the agents. You talk to one Orchestrator and never choose a specialist: it analyses the request, decomposes it into subtasks, delegates to Planner, Content, Research or Support agents, and synthesises one coherent answer. Agents delegate to each other rather than making you play project manager, and long-running work runs in the background on a task queue with status, history and cancellation. Memory is four-layered and backed by a temporal knowledge graph with composite scoring, entity linking and spaced-repetition review, which is why a decision recorded in March is still available in August.

It mirrors back into your tools

Nothing has to migrate. Pluggable adapters treat each tool as a synchronisation endpoint: Founder OS reads it as a state source, and the renderer writes the reconciled picture back out as ordinary content in that tool. Obsidian ships today and Notion is in progress, with Google Calendar feeding real capacity into planning. You keep working where you already work — the change is that your notes, your tracker and your calendar stop contradicting each other.

Autonomy with a brake

Autonomy is only useful if it is safe, so every proposed action is classified into three risk tiers. Low-risk work runs unattended; anything irreversible or outward-facing — sending a message, issuing a refund, deleting something — is held until you explicitly approve it, and agents cannot route around that gate. The stack is OSS-first and local-first: Ollama runs inference on your own machine by default, so you can operate the whole system without sending company data to a model vendor, and swap in Claude, Gemini or any OpenAI-compatible endpoint when you want to.

The honest summary: Founder OS is for founders whose bottleneck is context switching rather than typing speed. If you want to see the shape of it, read the feature breakdown, walk through an illustrative scenario, or start on the free tier and connect one tool.