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AgenticOS vs OpenAI dots

Your AI team.
Your workspace.

Move from a useful assistant to a shared place for your team’s agents, tools and results. Choose the operating model that fits.

See it with your team Explore the product

Apache-2.0 · self-hosted · built on Pydantic AI

AgenticOSYour company workspace
The Finance Analyst’s capability cards beside its draft test panel, ready for a sample question.
Real AgenticOS interface · illustrative demo data

Work together

People and agents in shared Projects

Build around your work

Knowledge, tools, workflows and apps

Choose how it runs

Your infrastructure and model providers

AgenticOS vs OpenAI dots

A dot is an always-on personal agent in ChatGPT. It works on its own cloud computer, uses permitted connected apps and can delegate work while you keep talking. AgenticOS is a self-hosted company platform for configuring, sharing and governing agents. This is a documentation comparison, not a tested account benchmark.

Jump to the side-by-side comparison

What you could put to work

Pick a job.
See it in action.

A useful agent should leave you with something you can use. Explore three examples from the AgenticOS product.

Research & operations

Ask the specialists. Get one brief.

Let a lead agent bring together research and analysis from specialist agents. In this example, the brief names its sources and flags the missing financial inputs instead of inventing a margin.

  1. 1.Define the question
  2. 2.Connect specialist agents
  3. 3.Review the combined brief
Explore shared Projects
A Chief of Staff agent's pricing review brief, written from what the Sales Researcher and Finance Analyst agents found.
AgenticOS product capture · illustrative demo data. Inspect the output against your own task and sources. View full-size screen ↗

Make the platform fit the work

Build for your team.
Run it your way.

01

Choose the operating model

Configure the team’s agents, knowledge and tools, set approval policies and budgets, and inspect runs. Self-hosting also means your team owns deployment and maintenance.

The software is Apache-2.0. Your team still owns hosting, model usage, updates and the policies it configures. Self-hosting alone does not mean zero outbound data.

The Approvals tab of the Activity page, with approved, rejected and expired example requests and their decision history.
Approval requests and their recorded decisions stay in one place. Product capture with illustrative data.
At a glance

OpenAI dots and AgenticOS, side by side.

  • Deployment

    OpenAI dots
    OpenAI cloud; optional connected local computer has separate availability requirements
    AgenticOS
    Your infrastructure and selected model providers

  • Scope to check

    OpenAI dots
    Gradual rollout to eligible accounts; plan, region and workspace conditions apply
    AgenticOS
    Apache-2.0; infrastructure and model costs are separate

  • Work

    OpenAI dots
    Ongoing personal responsibilities, permitted connected apps and delegated cloud threads
    AgenticOS
    Versioned agents, shared Projects, visual workflows, virtual tables and routines
Choose the operating model

Choose OpenAI dots when it fits the job.

  • You want an ongoing personal agent in ChatGPT without operating an agent platform.
  • Choose on the exact task, tool support and operating requirements; no answer-quality advantage is claimed.
Choose AgenticOS

Run the platform. Make it your own.

  • Your team wants to operate the platform and choose its infrastructure and model providers.
  • You want shared Projects, configurable specialist agents and explicit workflows in one workspace.
  • You want open-source software you can inspect and extend, and accept responsibility for operating it.

Before changing your setup

Treat migration as a small manual experiment: recreate permitted instructions, reconnect tools and verify a read and a rejected write. No automatic importer, transferred login session or direct interoperability is promised.

FAQ

What people ask before they switch.

Were both products tested together?

No. These pages compare documented capabilities. The linked guide names its own baseline; assess the current vendor conditions and test your task before changing systems.

Make the choice on your own task

One useful agent.
Start there.

Bring a handbook question, a recurring report or a small research task. Build one agent and decide whether this is the workspace you want to run.

Book a working demo Explore the source

Try it on your own infrastructure

Start with the installation guide and a model connection. No software licence fee; infrastructure and model usage are separate.

Terminal
curl -fsSL https://raw.githubusercontent.com/vstorm-co/agenticos/main/scripts/quickstart.sh | bash
Read the installation guide

Comparison by Vstorm, the team building AgenticOS. Vendor sources checked 2 November 2026.

Documented capabilities, not a head-to-head benchmark. Read the sources and comparison scope.

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