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Agent OS · for businesses, and the partners who serve them

Autonomy needs an operating system.

The Agent OS is a fully managed operating system where people and agents work together. Every agent acts through a signed permission. Every run is logged. Everything the work produces lands in a memory bank your organisation owns, so the next workflow starts from what the last one learned.

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Why pilots stall

Every agent pilot dies in the same meeting.

What can this agent see?

Scoped by its signed connection

What did it actually do?

Written to the run log

Can we prove it?

Every record is signed

Where did our data go?

Only where a connection allowed

Nobody lets an agent act on customer data without a record. So a person ends up checking every step, nothing compounds, and the pilot stays a demo. That is not a capability gap. It is an accountability gap. An operating system closes it: people stay at the decisions that matter, and agents carry the rest on the record.

Inside the Agent OS

Every answer, on one screen.

Every workflow, agent and run for your organisation in one place: what ran, which scopes each agent read, and what needs attention. Every run leaves a signed record.

Shared memory

A team of five that works like a hundred.

Every brainstorm, review, approval and agent run lands in your organisation's memory bank, linked to who contributed and what it produced. The next person, and the next agent, starts from what is already known instead of starting over.

A workflow with people and agents: two people brainstorm with their own agents, a research agent drafts from the memory bank, a reviewer edits, an approver signs off, and the result lands in the memory bank with its lineage. The next session starts from there. The next session, and the next person, starts from what is already known BrainstormAnna, leadOwn agent, local model BrainstormSam, analystOwn agent, any model DraftResearch agentReads the memory bank ReviewBen, reviewerEdits the draft Approval gateAnna, approverSigns off one version Memory bankResult and lineageWho, which tool, what A workflow with people and agents: two people brainstorm with their own agents, a research agent drafts from the memory bank, a reviewer edits, an approver signs off, and the result lands in the memory bank with its lineage. The next session starts from there. BrainstormAnna, leadOwn agent, local model BrainstormSam, analystOwn agent, any model DraftResearch agentReads the memory bank ReviewBen, reviewerEdits the draft Approval gateAnna, approverSigns off one version Memory bankResult and lineageWho, which tool, what The next session, and the nextperson, starts from what isalready known
An example workflow. The people are fictional.

Ask it anything

"What was the main objection in last quarter's deals?" Answers cite the sessions and runs they came from.

See how work happened

Follow any outcome back through approval, review and the first brainstorm.

Scoped like everything else

The memory bank sits inside your vault, so the same connections decide who can read it.

The operating system

Trust by construction, not by promise.

The last cloud was built to collect data. This one is built to keep custody of it, and to let agents build on it without moving it.

  1. Identity and permissions

    Every agent works through a signed, scoped, time-bound connection to your vault. Access is set per role. Disconnecting an agent is a signature, not a support ticket.

    How connections work

  2. Isolation

    Every agent runs in its own isolate. Your data lives in your own vault, partitioned by scope, and no agent reaches it without a connection. Dedicated inference endpoints are available when you need them.

    How isolation works

  3. The run log

    Every run is logged: which agent, through which connection, touched which data, which models it called and what it produced. Readable by your team and your compliance reviewers.

    How the log works

  4. Fully managed

    Provisioning, hosting, scaling and model serving are the OS's job. You launch agents. You never build a platform team to get one workflow live.

    What we run for you

  5. The memory bank

    Runs, decisions and artifacts become knowledge your organisation owns, with lineage back to every person and agent who contributed. It lives in your vault, under your keys.

    How the memory bank works
Your perimeterOrg-owned vault · org-held keys · any conformant host
Owner keysigns every connection
Inference gatewayAny model, behind your gateway
Agent runtimeAn isolate per run
Permissions and run logA log entry for every run
Elastic computeDedicated endpoints on request
Your vaultScopes, events and memory
Your computation, data and knowledge stay within your control.
For agencies and integrators

Become an AI-native services MSP in one move.

Service revenue caps at headcount. Agents on the Agent OS do not. Harness and own the agents and workflows you customise for each client, run them on a vault that belongs to that client, and bill for outcomes instead of hours. We build the first workflows with you, on your clients, first.

Own the workflows

Your playbooks, customised per client, reusable across your book.

Own the client

Your brand on top, the OS underneath. You set the price.

Co-build

A founding-partner program puts one workstream live in 30 days, built alongside our engineers.

Become a founding partner
Built on an open standard

Your context. Your boundaries.

The Agent OS is the reference implementation of an open standard for owned, revocable, auditable context. The standard fixes how access is granted, the vault semantics and the log. Everything else is a product decision.

Context ownership
Why one system

Memory, workflow and compute in one system.

Others sell a memory layer, a workflow builder or a model endpoint, and leave you to wire the accountability together. The Agent OS builds lineage, permissions and the record into every workflow from the start.

Start with one workstream.

Tell us where delegation is stuck: pipeline, follow-through, review, reporting. We scope a first build around it.

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