We're speaking at AGNTCon + MCPCon in San Jose on Oct 23, then hosting drinks that evening. AGNTCon + MCPCon, San Jose, Oct 23 Our talkJoin the drinks

AgenticOS: the sovereign agentic AI layer you own

Own the intelligence that runs your business.

AgenticOS is the sovereign agentic AI layer we build for you, on an open-source foundation you own outright. It changes how the whole business runs, not one corner of it.

Schedule a meeting View on GitHub
Why AgenticOS exists

It grew out of client work.

  1. 01

    Expertise first, layer second

    We ran agentic transformations for clients before AgenticOS had a name. They asked us to deliver faster, so what kept working in production became a shared foundation. We did not build a platform first and then look for problems to point it at.

    Client workWhat held upAgenticOS

  2. 02

    We help write the standards

    Vstorm was the first agentic AI engineering company to join the Agentic AI Foundation, where the open standards for agents are written. Our agents were in production before the major agent frameworks reached version 1.0.

    42+production workflows agentified

  3. 03

    Real sovereignty, not data privacy

    Many vendors sell data privacy and call it sovereignty. With AgenticOS you own every layer: platform, code, data, infrastructure and models. See the comparison

    • Platform
    • Code
    • Data
    • Infra
    • Models
What AgenticOS is

Put the judgement of your best people into the system.

Every company runs on the judgement of a few experienced people, and growing means hiring more of them. That has a ceiling. AgenticOS removes it by putting that judgement into agents you own.

  1. 01
    Procedures become skillsHow a task is done, step by step, in your words.
  2. 02
    Standing facts become contextThresholds, owners, policies and their current versions.
  3. 03
    Every agent works from bothChange a rule once and every agent that uses it follows.
agenticos / knowledge
Head of procurement, handover note

“If a supplier disputes an invoice, check the PO first, then the delivery note. Anything above €10k goes to the CFO.”

Skillskills/supplier-dispute.md
Escalating a supplier dispute
  1. Match the invoice to the PO
  2. Check the delivery note
  3. Route by amount
Contextcontext/procurement-policy.md
Sign-off above €10k
CFO
Sign-off below €10k
Procurement
Policy version
v4, March
Loaded by
  • Invoice matcher
  • Supplier mailer
  • PO checker
  • +3 more
Example data
Definition AgenticOS noun: a sovereign agentic AI layer

A layer you own, not another platform you rent.

AgenticOS is the sovereign agentic AI layer, built by Vstorm, that a company owns outright. Built on open-source foundations, it runs business processes through AI agents across departments, and the client owns every layer: platform, code, data, infrastructure and models.

How it works: sovereignty

Most sovereign AI is rented.

Plenty of platforms sell sovereignty and deliver data privacy. Your prompts and data may stay yours, while the code, the guardrails and the roadmap stay with the vendor. You furnish the house; someone else owns it.

With AgenticOS you own every layer, including the one that does the work.

The capability moves to you as well. We build your team's skills step by step, so you run and evolve the system without depending on us.

Full lock-in platform
  1. Process logic vendor
  2. Data vendor
  3. Models vendor
  4. Codebase vendor
  5. Infrastructure vendor
0/5 layers yours
Semi lock-in platform
  1. Process logic yours
  2. Data yours
  3. Models yours
  4. Codebase vendor
  5. Infrastructure vendor
3/5 layers yours
AgenticOS
  1. Process logic yours
  2. Data yours
  3. Models yours
  4. Codebase yours
  5. Infrastructure yours
5/5 layers yours
Ownership

Your agentic OS belongs to you.

The platform, the code, the data, the infrastructure and the models. Nothing in AgenticOS needs our permission to keep running.

Any model, changed in one place

One interface to 27 model providers, from OpenAI and Anthropic to Ollama on your own hardware. Change a model profile, run the evals, and every agent on it moves together.

Your data stays in your database

Collections, skills, context and every run record sit in your own Postgres, with embeddings kept per organisation. Model keys are stored there too, encrypted.

Apache-2.0

Read every line before we meet

The code is public. Your engineers can read all of it before the first call and change any of it after we leave.

curl -fsSL https://raw.githubusercontent.com/vstorm-co/agenticos/main/scripts/quickstart.sh | bash
Read the code on GitHub

Your cloud, your data centre or a laptop

It needs a Docker Compose file and a browser, nothing more. It runs inside your security boundary, and what leaves it depends only on the models, parsers and tools you configure.

The tools you already pay for

4,700+ MCP servers in the gallery, plus your own. If a tool already has an MCP server, there is no connector to write.

How it works

From one command to agents at work.

You install AgenticOS on your own machines and assemble agents in the browser. Each agent then answers wherever your people already work.

  1. 01

    Install it on your infrastructure

    One command, and Docker is all it needs. Postgres with pgvector, Redis, the API and the console come up on your servers or in your cloud account.

  2. 02

    Build agents in the browser

    An agent is a spec: instructions, a model, the tools it may use, the knowledge bound to it and a budget. Nothing goes live until you publish, and every publish is a version.

  3. 03

    Run it where people work

    Published once, the same agent answers in web chat, Slack, Telegram, Mattermost, a website widget or your own software over the API, with the same limits everywhere.

The platform

Building one agent is easy. Running fifty under one set of rules takes one layer that holds the rules.

AgenticOS is one place to build agents and one set of books for all of them: what runs, what it cost, what it touched and who allowed it.

01 Build

Company know-how, written once

A procedure becomes a skill written in plain language, which an agent loads when it is relevant. Standing facts become context files attached to every agent that needs them. Edit either one and the next answer uses it, with no release.

  • Skills and context files, edited in the browser
  • Retrieval over your documents, with the PDF reader chosen per collection
  • Versioned agent specs: nothing changes until you publish
02 Run

One runner behind every surface

The same runner serves web chat, the API, Slack and the schedule. A 07:00 automation follows the same limits and leaves the same record as a question a person typed.

  • Routines on a clock, a webhook or a mailbox
  • Python in a sandbox with files and a shell
  • Compatible MCP servers, 4,700+ in the gallery
03 Govern

Budgets, approvals and a record of every run

Each agent's monthly budget is checked before a model request, not added up afterwards. A tool that acts on the outside world can wait for a person. Who ran what, what it cost and who approved it is written down, even when a run fails.

  • Roles built from a permission catalogue, with per-resource grants
  • Human approval for supported tools
  • Tenant-scoped access and a full audit trail
See it running

A spreadsheet in, charts out, every step on record.

A CSV dropped into the chat and one sentence asking for charts. The agent writes the code, runs it in a locked sandbox, and answers. Recorded in the product, not mocked up.
Delivery model

Delivered with you, then run by you.

One team takes you from vision to production under the TriStorm methodology. The engagement ends with your people operating the system.

  1. 01 Foundation

    The AgenticOS layer

    The open-source base: the parts every agentic system needs, already built and running in production.

    You get
    • The layer running in your environment
    • Your first workflow mapped
    Our engineers lead
  2. 02 Engineering

    Forward-deployed engineers

    Engineers who map your processes, redesign them for agents, then build and tailor the system in production with your team, inside your environment.

    You get
    • Processes mapped and redesigned for agents
    • Agents live on your processes
    Built together
  3. 03 Handover

    Capability transfer

    Upskilling, runbooks, documentation and pairing, so your team runs and evolves the system when we step back.

    You get
    • Your people trained to work with agents
    • A team that runs it without us
    Your team runs it
How we map and redesign processes Explore the TriStorm methodology
Case studies
All case studies
Engineering in the open

We help build what agentic AI runs on

Open standards, open-source tooling and published research, all public, so you can check our engineering before you hire us.

Shaping agentic AI

The first agentic AI engineering company to join the Agentic AI Foundation

The Linux Foundation formed it around Anthropic's MCP, OpenAI's AGENTS.md and Block's goose. AWS, Google and Microsoft are platinum members. In its own words: “Together, we're shaping the future of agentic AI.”

Open source

We build open-source agent tooling that other engineering teams install

9M+ PyPI downloads
3,900+ GitHub stars
31 public repositories

Framework contributors

When the framework breaks, we fix it at the source

We maintain our own open-source agent framework and contribute fixes to the frameworks our agents run on, through official partnerships with their teams. Breaking changes reach us before they reach your codebase.

Research

Our engineers and PhDs publish peer-reviewed research

Peer-reviewed papers on agent architectures, evaluation and AI security, and an open benchmark anyone can rerun against our results.

Track record

Frontier AI teams now build on what we shipped first

Our client agents were in production before most of today's agent frameworks had a stable release. You get a team that already knows what breaks between a promising demo and a system people rely on every day.

FAQ

What buyers ask us first.

Short answers to the questions that come up in every first call.

01 Is AgenticOS a product or a service?

Both. AgenticOS is an open-source product: what we learned across 30+ production deployments, turned into a foundation. Most of a typical system is ready on day one, and the engagement tailors the rest to your processes, data and integrations.

02 What is the delivery model?

The open-source layer is the base. Forward-deployed engineers deploy it inside your environment and tailor it to your workflows in production. A transformation manager runs the change alongside them: the roadmap for the operating model, adoption, working through scepticism and upskilling your team. Before we step back, we hand over runbooks and documentation, so your people can run and extend the system.

03 What features does the AgenticOS platform have?

Agents defined as versioned specs, skills and context files, tools connected over MCP, retrieval over your documents, scheduled and event-triggered automations, human approval for sensitive actions, budgets checked before model requests, a full audit trail, and one agent published to web chat, the API, Slack and other channels. The full list is in the public repository.

04 Do we need an in-house AI team?

No. Our engineers build and run the first workflows. If you want to take over maintenance later, we train the people you already have to do it.

05 Is it sovereign?

Yes, on every layer: platform, code, data, infrastructure and models. Many platforms that claim sovereignty deliver data privacy, which is worth having, while the platform and its roadmap stay with the vendor. Nothing in AgenticOS needs our permission to keep running.

06 What about lock-in? Can we leave and take it with us?

Yes. The code is Apache-2.0, it runs on your infrastructure, the data sits in your database, and the model is a configuration choice. If you stopped working with us tomorrow, the system would keep running.

07 How is pricing different from a subscription?

You pay for implementation and tailoring. There is no subscription, no seat count and no long-term commitment.

08 Who maintains it after handover?

You choose. We can build the capability inside your team so you maintain it yourselves, which is full sovereignty. If you are not ready to build that capability yet, Vstorm can maintain the platform for you.

Next step

Most of your system already exists.

In the first meeting we map which of your processes AgenticOS should take on first, what is already built for them, and what the first ninety days look like. You talk to the engineers who would do the work.

Schedule a meeting