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AgenticOS vs Muse

Personal AI?
Meet team AI.

A personal assistant and a company agent platform solve different jobs. Explore what your team could build in a shared workspace.

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 Muse

Muse is Meta’s personal AI agent, announced on 8 September 2026. It uses a dedicated cloud VM and browser, continues work while the user is away, and asks before sensitive actions. The announcement describes an initial US rollout. Muse the agent and Muse Spark the model are different things.

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

A platform for the team

Shared Projects, visual workflows and virtual tables connect people, agents and structured work. Configure budgets and tool approval policies, then inspect runs.

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

Muse and AgenticOS, side by side.

  • Where it runs

    Muse
    Meta’s cloud; initial US rollout described in announcement
    AgenticOS
    Your infrastructure, with model providers you select

  • Reader’s task

    Muse
    A managed personal proactive agent
    AgenticOS
    Build, share and govern agents across a company

  • Operation

    Muse
    Vendor-operated service; availability and plan conditions apply
    AgenticOS
    Apache-2.0 software; your team operates it and pays for infrastructure and models
Choose the operating model

Choose Muse when it fits the job.

  • You want a managed personal assistant without running an agent platform.
  • You meet the vendor’s availability and plan requirements.
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

No direct interoperability is asserted. Compare the same task with synthetic inputs before choosing; these pages do not report a hands-on account test.

FAQ

What people ask before they switch.

Is this a benchmark?

No. This compares vendor documentation with AgenticOS v1.35.0. It does not establish answer quality, feature parity or comparative security.

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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