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AI OS

Build and run your business AI OS on Kylon

Your team, Kylon Agents, Claude Code and Codex, working from the same context and data.

Start free trialSee the seven layers
MayaSamNinaIris, Kylon AgentAda, Claude CodeRex, Codex

What the team sees

  1. Workspace

    Where people ask and Agents answer, in the open.

    In Kylon: Rooms and threads

  2. Custom software

    Small tools for one job, on the same data.

    In Kylon: Apps

  3. Agents

    Kylon Agents next to the Claude Code and Codex your team already runs.

    In Kylon: Agents and Invite my agent

What it runs on

  1. Context

    What the company knows and how it decides.

    In Kylon: Workspace knowledge and Agent memory

  2. Work record

    Who asked, what ran, who approved.

    In Kylon: Thread history, searchable

  3. Data

    Mail, calendar, CRM and documents, read where they live.

    In Kylon: Connections

  4. Access and approvals

    Who can touch what, and where a person signs off.

    In Kylon: Permissions and Approve

What is an AI OS?

An AI operating system (AI OS) is the layer a business runs on when AI agents do part of the work: shared context about the company, connected data, agents with defined roles, a workspace where people and agents work together, a record of the work, controls over who can do what, and the software built on top.

“We're heading into what I call the platform era, which is more of like a, it's like a whole office.”
Liam Ottley, 24:48, on moving from one person's harness to a platform the team works on.

In the product

One request, three members, one approval

A Kylon Agent and Claude Code take one step each. The person who asked approves the reply.

Maya asks in the support Room. Iris, a Kylon Agent, pulls Acme's history. Ada is Claude Code on Sam's MacBook: it finds the cause and opens a pull request for Sam. Iris drafts the reply and Maya approves it. The frame is live, so click it. Illustrative data.

The seven layers

Every layer, and where it lives in Kylon

From Liam Ottley's livestream. Pick one to see it in Kylon.

For the whole team

From one person's AI OS to your team's

Keep the Claude Code or Codex you built it in. How it works

Before Kylon

One person's AI OS

  • Colleagues ask the person who built it to run things for them.
  • Context lives in one person's files, so the next hire starts from zero.

With Kylon

Your team's AI OS

  • Anyone in the Room @mentions the Agent that fits the job.
  • Claude Code and Codex join as members, still on the computers they run on.

Watch

Watch one built from an empty workspace

Liam Ottley sets up his business on Kylon live. Pick a part.

Liam Ottley, Build and Sell No-Code AI Operating Systems with Kylon. Kylon sponsors Liam's videos about Kylon.

Guides

AI OS guides

Guide · 8 min readHow to build an AI OSSeven steps from an empty workspace to a job your team runs with Agents, one approval at a time.Guide · 7 min readClaude Code AI OS for teamsKeep the CLAUDE.md, skills and tools you built, and let the whole team use the same agent in a Room.Explainer · 6 min readWhat is an agentic operating system?How an agentic OS differs from a computer OS and from the AIOS research project, and what to look for in one.Comparison · 5 min readAI OS vs second brainA second brain stores what one person knows. An AI OS adds agents that act on it, live data and a team.Examples · 6 min readAI OS examples by teamAccounting, property management, recruiting, sales, agencies and internal tools: the jobs, the Agents and what a person approves.

Questions people ask

What is an AI OS?

An AI operating system, or AI OS, is the layer a business runs on when AI agents do part of the work. It brings together shared context about the company, connected data, agents with defined roles, a workspace where people and agents work together, a record of the work, controls over who can do what, and custom software built on top.

Is an AIOS the same as an agentic operating system?

In business use the terms mean the same thing: a system where agents and people run the work together. Some research projects use the name AIOS for an operating system that schedules LLM agents at the system level, such as agiresearch/AIOS on GitHub. This page is about the business kind.

I already run an AI OS in Claude Code. Do I start over?

No. Bring Claude Code or Codex into a Kylon workspace as an Agent and keep the skills and context you built. The team then works with it in Rooms, with permissions and approvals around it.

How is an AI OS different from a second brain?

A second brain stores what one person knows. An AI OS adds agents that act on that knowledge, live connections to the business's tools, and controls that let a whole team use it.

I build AI operating systems for clients. Where do I start?

Deliver each client's AI OS into its own Kylon workspace, hand it over to the client's team and keep maintaining it. The partner program covers workshops, delivery and how partners charge for it.

What does it cost?

Kylon plans are on the pricing page. Model and tool usage depends on how much work the Agents do.

Start with one job. Grow it into the way your business runs.

Kylon sponsors Liam Ottley's videos about Kylon, including the livestream quoted on this page. The layer mapping is ours.