Free & open source v0.7.0

Your idea.A studio tosee it through.

Give your AI agent a way to think, plan, and build. From the first good question to a product you can put to work.

Your tools. Your code. A shared direction.

Product workspaceIllustrative example
Project brief01

Start with the
right problem.

A feedback tracker for freelance designers.

Who it helps
Independent designers
First milestone
One clear revision queue

Less starting over.
More moving forward.

Built to work inside
the agent you use.

CodexClaude CodeCursorOther filesystem-capable agents

A good build starts
before the first line.

You don’t need a perfect specification. Bring a goal, an existing project, or a change you want to make. Studio OS helps turn it into a clear path forward.

Find your starting point

Understand before building

Explore the problem, agree on the scope, and make product decisions before choosing a solution.

Keep the project’s memory

Briefs, decisions, and progress live in your repository. Pick up the work without reconstructing the conversation.

Finish with something verifiable

Technical checks, user scenarios, and product outcomes each get their own evidence.

One project.
A considered next step.

Start fresh or work with what exists. The workflow adapts to the project and loads the context needed for the current stage.

01

Find the right thing

Discuss the idea, research what matters, and agree on a brief.

Problem → Accepted scope
02

Make it work

Design the experience, plan the architecture, and build in increments.

Decisions → Working product
03

Prove it’s ready

Verify the behavior, review the outcome, and prepare the release.

Evidence → Release decision

A new product moves from problem understanding to verified outcome.

  1. Interview
  2. Discovery
  3. Briefing
  4. Planning
  5. Architecture
  6. Interface Design
  7. Task Decomposition
  8. Development
  9. Validation
  10. QA
  11. Product Outcome
  12. Release
  13. Retrospective

The route is adapted to the work. Research and design stages are selected when needed; new features, bugs, and refactors get their own paths.

One accountable leadContext · decisions · review
ImplementBounded scope
InvestigateFocused context
VerifyReview evidence

Native subagents, when your host supports them.

More hands.
One shared direction.

The lead agent can delegate focused tasks to available models, then review their results against the same plan.

No subagents available? The workflow continues with one agent. Model choice, cost, and token savings depend on your host and task.

From a rough idea to a deployed product.

Spoke, a mobile bicycle repair workspace. A fictional walkthrough of a first milestone, from a dispatch problem to a useful operations tool.

SpokeIllustrative product conceptDispatch workspace
Illustrative Spoke dashboard showing bicycle repair jobs, workload, and job details
Fictional example, not a customer result or a recorded deployment.
The request

“Help our dispatcher see what’s scheduled, active, and ready.”

The first milestone

Create a request, assign a technician, and track the job.

The finish signal

Verify that loop on the target devices, then review release readiness.

Your next project starts here.

Install the packaged plugin for Codex or Claude Code, or use the universal Bootstrap with another filesystem-capable agent.

Add the GitHub marketplace, then install Studio OS:

codex plugin marketplace add Aleksei2507/studio-os
codex plugin add studio-os@studio-os

Start a new Codex session, then use Use Studio OS with a product request.

Before you install.

Is Studio OS free?

Yes. Studio OS is open source under the MIT license. Your host agent and model usage are separate.

Can it delegate work to other models?

When your host supports it, Studio OS plans bounded subagent tasks, selects from available models, and reviews their results. It uses a single agent when delegation is unavailable. Model choice and token savings depend on the host and the task.

Does Studio OS write the product?

The host AI agent performs the work. Studio OS supplies the workflow, stage boundaries, decision contracts, standards, and quality gates that keep that work coherent.

Is it tied to Codex?

No. Codex and Claude Code have packaged adapters. Other agents with filesystem access can enter through the universal Bootstrap included in each release.

Will it replace an existing stack or design system?

Not by default. Brownfield onboarding records evidence from the current codebase and interface system so later stages can preserve or deliberately revise accepted constraints.

How is Studio OS different from BMAD?

They overlap in structured AI-assisted product delivery. BMAD is a broad agile framework with specialized agents and workflows from planning into implementation. Studio OS emphasizes a development studio operating model: inferred routing, one active Runtime, project-local decisions, and separate gates for code completion, product outcome, and release. It is not presented as a drop-in replacement.

Is it production-ready?

Studio OS is currently alpha software. Its contracts and regressions are actively evolving, so use versioned releases and review project decisions.