∴ Agent Studio
Every person, their own
professional services.
A power-user platform for AI agents. Co-work, but with real range — build, prototype, automate, and ship, on your models and inside your environment.
The problem
AI lives in a chat window. It forgets, it stops when you close the lid, and it never does the work — it just talks about it.
Real work needs memory, range, and the ability to keep going in the background. Almost no one has agents that live somewhere central, do the job, and hand back finished output.
The workspace
Agents that do the work, not just the talking.
Agent Studio is a full agentic workspace — tasks, spaces, wikis, memory and automations in one place. Agents run centrally on your models, inside scoped sandboxes, and queue finished work back to you to approve.
Security audit
An agent sweeps your codebase twice a week, flags new risks, and opens the fixes before anyone asks.
Project health check
Each project gets a morning review with concrete suggestions on what to improve and what’s drifting.
Reports & emails
Triggered when something happens, like a task landing or a deadline nearing, agents draft and send the follow-up.
Real range
Built to act, not just answer.
Every agent has the tools to actually do the job: a real browser, crawling, a graph, document generation, multi-model routing, and full tool use across your stack.
Built-in browser
Agents navigate the web like a person would.
Web crawling
Pull in and structure information at scale.
Graph database
Relationships and project lifecycle, mapped.
Document generation
Specs, reports, and decks, written for you.
Multi-model
The right model for each job, side by side.
Full tool use
Connect the tools your stack already runs on.
In production
What teams build in Agent Studio.
We help teams stand up fit-for-purpose agents that plan, act and hand off real work — running centrally, on your models and your rules.
- / 0001 Build agents fast Stand up a purpose-built agent from a description — no prompt engineering, no scripts to maintain.
- / 0002 Orchestrate workflows Chain agents into multi-step work that plans, acts and hands off, running in the background.
- / 0003 Wire in your tools Connect the systems your stack already runs on and let agents use them with real tool access.
- / 0004 Ship to production Promote agents to scheduled, sandboxed jobs that run centrally on your models and your rules.
For every team
Fit-for-purpose, not one-size-fits-all.
Security & governance
Real power, fully sandboxed.
Democratized & fit-for-purpose
Agents tailored to the work: marketing, finance, legal, engineering. Every team gets the kind of help it actually needs, not a one-size-fits-all chatbot.
Runs centrally, data stays put
Agents live on a server, not on someone’s laptop. Your people aren’t glued to one machine, and your data stays in one governed place.
Your provider, your rules
Pick any model from any vendor. No lock-in means governance and compliance stay on your terms, so you can switch providers without rebuilding.
Sandboxed by default
Every agent runs inside scoped permissions. Nothing executes loose on anyone’s computer, so you can hand teams real power without the risk.
Better together
Pairs with Cerebro
Cerebro is our governed knowledge layer. Give your Agent Studio agents source-backed, cited knowledge through a single call, and plug Cerebro-generated identities straight in. Both are deliberately vendor-agnostic, so they complement each other without locking you in.
Explore Cerebro →How it works
Set the direction. Get it back done.
Set the direction
You describe the outcome. No prompts to engineer, no scripts to write.
Agents do the work
They plan, act, and use real tools inside their sandbox, on your models.
It comes back documented
Work lands as tasks, docs, and memory the whole team gets smarter from.
FAQ
Questions, answered.
What exactly is Agent Studio?
A central platform where AI agents do real work for your team: building, prototyping, researching and shipping. Think co-work like Copilot or Claude, but generalized into a full workspace — tasks, spaces, wikis, memory and automations all in one place, with the agents living on a server rather than someone’s laptop.
How is this different from ChatGPT or Copilot?
A chat window forgets everything between sessions and stops the moment you close the lid. Agent Studio gives agents a home: persistent memory, shared context, and the ability to keep working in the background. The agents service the work and queue results back to you to approve, so you’re reviewing finished output, not babysitting a prompt.
Do I have to know how to prompt or code?
No. The system is designed so agents already hold the context and memory to fill in what you didn’t spell out. When something genuinely is missing or two things conflict, an agent raises the question or flags the conflict for you, instead of guessing or quietly going wrong.
Where do the agents actually run?
Centrally, inside your environment, not on individual machines. Your people aren’t tied to one computer, work continues whether or not anyone is online, and your data stays in one governed place.
Which AI models can we use?
Any of them. Agent Studio is provider-agnostic, so pick the right model from any vendor for each job, and run several side by side. No model is baked in.
How does it relate to Cerebro?
They’re separate, complementary products. Cerebro is our governed knowledge layer; Agent Studio is the agentic workspace. They pair well — you can connect Cerebro-generated agent identities into Agent Studio — but neither requires the other.
Give every team its own agents.
See Agent Studio running on your models, in your environment, on your rules.
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