Meet the Agent OS — the platform that runs your AI workers. They learn how your best people work, do the real job in the tools you already use, and get better every time — with your team in control.
Powering AI agents and applications at companies from startups to the enterprise.
A marketing assistant is already running real campaigns for a marketing team — checking the numbers and adjusting the budget every cycle, with a person to approve before it acts on its own.
Illustrative Figures shown are representative benchmarks for this category of AI optimization, included to illustrate how the system performs. Actual results are confidential under our customer agreements.
Every cycle it runs a thousand "what if" simulations to work out the chance of hitting the target, then suggests changes across six levers — nudging budgets within a 10–20% range. It only acts on its own when it's at least 80% sure; otherwise it checks with a person first.
AI assistants that deliver real value and ROI within weeks, across a growing range of use cases.
It checks each campaign's goals, reads yesterday's numbers, predicts whether you'll hit the monthly target, and suggests the budget, audience, and creative changes a senior strategist would — right in your team chat. It learns your playbook and gets sharper every week.
It reads a borrower's bank statements, works out real revenue and risk, applies the lender's rules, and checks lawsuits, history, and red flags across five outside sources — then returns a clear yes or no you can explain. The rules are enforced automatically; a person approves the final call.
Add an AI assistant right inside your application — integrated into all of its features and your third-party tools.
Reconcile last month's refunds against your CRM
Match incoming invoices to purchase orders
Update CRM pipelines from meeting notes
Underwrite a loan from a borrower's bank statements
Most AI tools guess once and stop. Interactor's assistants do the real job in your tools, see how it turned out, and learn from it.
The assistant suggests the move, your team approves the ones that matter, and it never acts outside the limits you set.
The assistant suggests; a person signs off on anything you can't undo. It never quietly does something risky on its own.
Budgets, caps and your own rules are checked before it acts. The assistant only ever works inside the limits you set.
When it's confident, it acts. When it isn't, it stops and asks a person instead of guessing.
Run it on your own servers or alongside them. Your logins are encrypted and your data is never mixed with anyone else's.
If something starts to slip, it corrects itself. If a tool is down, it steps back gracefully instead of breaking your work.
Every action, approval and result is saved. You can look back at exactly what the assistant did, and why.
Run it where your data already lives, with your team holding the keys.
Deploy Interactor in your own infrastructure.
Your own credentials, encrypted, never shared across customers.
Agents act only inside the rules you set, and pause for approval on anything irreversible.
No rip-and-replace.
Agent OS is the software that runs your AI workers. Under the hood it handles the hard parts — orchestration, a neural world model, queryable memory, and self-healing tools — so each assistant has the judgment, memory, reach, and safe way to act it needs, and gets better every time.
Turns a request into a clear, step-by-step plan and carries out the multi-step orchestration — making sure nothing is skipped and every hand-off between assistants stays secure.
Understands what you're asking for in plain English with a neural world model that grounds what you mean in your real data — then follows your playbook with good judgment, learning more about your team as it goes.
Keeps a queryable company memory of what matters across every conversation, so you never have to repeat yourself — and it keeps up automatically when your tools or data change.
Knows all the tools and apps it can use and picks the right one for each job on its own. It's self-healing — it retries and recovers on its own when something doesn't work the first time.
Companies, the open-source community, and your own team all build their AI assistants on the same foundation — so you skip the hard parts and just ship.
Real businesses already run their assistants on Agent OS today.
See customers in productionDescribe the job and ship it in your own tools — no AI plumbing to build.
Request a demoBuild your own AI assistant on Interactor Agent OS — get your keys, describe the assistant in plain English, connect your users' tools, and ship in weeks, not months.
Create an app in your Interactor dashboard to get a client ID and secret. Your backend exchanges them for a short-lived access token — no auth flows to build yourself.
Describe the job in plain English. Interactor figures out what each request means, so there's no prompt-wrangling to maintain.
Open a room for a user, then send a message. The assistant picks the right tool for each request and pauses for approval where it matters.
Kick off a one-click OAuth connection to a service like Salesforce. Interactor stores and refreshes the tokens for you.
// 1 · authenticate — exchange credentials for a token
const client = new InteractorClient(clientId, clientSecret);
// 2 · create an assistant — describe the job in plain English
const assistant = await client.createAssistant({
name: "refund_reconciler",
system_prompt: "Reconcile refunds against our CRM.",
});
// 3 · open a room for a user, then send the work
const room = await client.createRoom(assistant.id, "user_123");
await client.sendMessage(room.id, "Reconcile last month's refunds.");
// 4 · connect a user's service — OAuth handled for you
const { authorization_url } = await client.initiateOAuth(
"salesforce", // service_id
"user_123", // external_user_id
"https://yourapp.com/connected",
);
Without Interactor, it's like flying an airplane without a cockpit and a copilot (literally).
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