One place to build, run and govern your company's AI agents — skills, context files, MCP at registry scale, automations, budgets and an audit trail. Self-hosted and open source, on your own Postgres and Docker.
翻訳待ち
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One place to build, run and govern your company's AI agents.
Self-hosted and open source — on your Postgres, in your Docker, under your
domain.
The OS in the name is a claim we make good on: seven functions, seven mechanisms .
A company ends up with agents in five places and cannot answer four questions:
what do we run, what did it cost, what did it touch, and who said it could.
AgenticOS is one place to build them and one set of books for all of them.Read the full README ↗Prepared conversation with fictional sales data in the real Visuals renderer. No live CRM or new model-generation run is represented.
AgenticOS gives every team AI teammates: agents that work with files, run code, browse the web and use your company's tools and knowledge. Your colleagues and your agents work in the same live chat, and any agent can hand code to Claude Code or Codex, on the ChatGPT or Claude subscription you already pay for. It is open source (Apache-2.0) and self-hosted, a layer you run on your own infrastructure. Build and publish agents in the browser, share them with colleagues, and manage their access, cost and results in one place.
New here? Click through the 17-slide introduction: the problem, the idea, the product on real screens, its controls and limits, and how to start. For every screen in detail, open the 47-slide product tour. Arrow keys step through either deck; O lists every slide.
AGENTS.md / CLAUDE.md, read from your computer. Each new chat starts with this sharing off./ask; review approvals and questions in the channel. Set up a channel.AOWorldMap, or use the presentation skills to build a deck as an App. A command watcher can follow test or log output while an agent works.A project gives everyone the same files, instructions and a computer for the agents. Invite colleagues and work the way a team works: see who is here, watch a teammate's agent answer as it is written, and bring in any agent, tool or document with an @.
Reply to a person or an agent's answer, and the agent applies the change and says whose it was. Every message carries a name, so a decision has an owner.
Any agent can hand software work to Claude Code or Codex. They build in the agent's own computer, on your ChatGPT or Claude subscription, and report what they changed, what they checked and what they need from you.
Prepared interface example: Claude Code implements a supplier portal and Codex reviews it in read-only mode. Fictional handoffs; no coding CLI execution is represented.
An agent draws while it writes: a diagram from your documents, a calculator with sliders, a chart or a 3D scene, live under its message. One click saves it as an app your team opens by link.
A prepared manufacturing Visual inside chat: a supply network, inbound delivery exceptions and assembly windows. Interactive fictional data; no ERP, machine connection or live model call is represented.
Ask for research that takes a while and close the tab. The agent keeps working, the answer lands in the conversation, and the bell tells you it is done.
Open the console to what your agents did, the calls waiting on you and the conversations to pick up again - with a tour of what they can do that is easy to miss.
A lead agent hands parts of a task to colleagues and writes up what they found - you see who it asked, and what each said.
Watch it click through sites, take over when a sign-in needs you, point at a spot to comment.
Enable tools and try a real task in the draft test panel before publishing the agent for colleagues.
An agent publishes a dashboard or a report as a page with a stable link and versions.
Northline: a prepared supply and production planning App with fictional shipments, local delay simulation and assembly windows.
Working local demonstrations with fictional data. Motor Atlas lets you inspect a conceptual assembly and its component records; Revenue Pulse recalculates sales metrics by region and period. No equipment, ERP or CRM is connected.
The actual AgenticOS widget runs a published, read-only agent on the fictional Trail Supply website. In the recorded local test it answered using the seeded catalog in its instructions. Live inventory, purchases and payments are not connected.
Build and publish a website widget
Connect Notion, GitHub, Jira or your own server, and choose which tools each agent may call.
AgenticOS is an MCP server. Add it with one command and sign in through the browser: your coding assistant can list and run agents, read runs and what they cost, and search and fill knowledge bases, within what you allowed.
Browse the current product gallery. Motor Atlas below is a prepared, interactive assembly explorer with fictional component records and telemetry; it is not a CAD drawing.
This is the beginning of the README. Read the rest at the original. Read the full README ↗