Ask. Read the answer. Copy it. Open another tool. Paste. Click. Repeat.
Your AI can think. Now it can work.
A reasoning orchestration layer with persistent memory, on-demand skills and real computer execution for the AI you already use.
Works with the AI you already use.
ChatGPT
Claude
Grok
Gemini
Perplexity
GitHub Copilot Works from wherever you are Use your existing computer Disconnect whenever you want
Y
Research the best option, prepare everything and leave it ready for me.
Understanding the goalResearching the optionsOpening the tools neededReady for your review
Stop asking AI how to do the work.
Ask it to do the work.
AI can already write, research, reason and plan. But too often, the answer is where it stops. You still open the apps, find the files, click through websites and move the information yourself. Autonomous closes that gap.
Describe the outcome. Let your AI work through the steps. Review the finished result.
One goal. Fewer instructions.
You should not have to explain every click. Tell Autonomous what you want to accomplish and keep the objective at the center while the work unfolds.
You give the goal
“Find the best option and prepare everything for me.”
Autonomous works through it
It understands the objective, breaks the work into steps and decides what should happen next.
Your computer gets to work
Websites open. Tools are used. Files are handled. Actions happen on the connected computer.
You get the result
Not another checklist of instructions. The work itself, ready for you to review.
Give your AI a working layer.
Autonomous sits between intelligence and execution: it keeps context, loads specialized knowledge when needed, and gives the AI a real computer to act on.
Reasoning orchestration
Keep the objective, current state and next action connected across long multi-step work.
Persistent memory
Carry durable global and per-project context across sessions without mixing unrelated projects.
On-demand skills
Load specialized guidance only when the task needs it instead of filling every conversation with unnecessary context.
200,000+ knowledge points
Give the AI access to a large structured knowledge layer while keeping retrieval selective and relevant.
Computer execution
Work with browsers, files, apps, terminals, processes and projects on an authorized computer.
Remote use
Start the work from another device while the connected computer handles the execution.
And control it from wherever you are.
Start something from your phone. Let your AI work on your connected computer. Check the result when you need it. The computer becomes a workspace your AI can actually use, even when it is not in your hands.
Your phone can be where you give the instruction. Your computer can be where the work happens.Not remote control. An orchestration layer.
Remote access is only one capability. The core is reasoning orchestration, persistent memory, project context and specialized skills that appear when the task needs them.
You still decide every click, every window, every step and every transition between tools.
You describe what you want accomplished. Your AI can reason through the work, use the computer and continue toward the result.
Use the AI you already prefer.
You should not have to rebuild your workflow around a new assistant. Autonomous is the layer between intelligence and action.
ChatGPT
Turn a ChatGPT conversation into real actions on your connected computer.
Dedicated guideClaude
Give Claude a goal and let it continue beyond the chat through a remote connector.
Dedicated guideGrok
Extend a Grok conversation into supported actions and real computer work.
Gemini
Bring Gemini into workflows that need the connected computer and external tools.
Perplexity
Take research further when the answer needs to become organized work on your machine.
GitHub Copilot
Move from coding assistance into supported work on the project and computer around it.
What could you delegate?
The point is not the example. The point is that you describe the outcome instead of performing every step yourself.
Research
“Research these competitors, compare their pricing and prepare a clear summary.”
Business
“Check what changed today, organize what matters and prepare what I need.”
Development
“Open the project, investigate the issue, make the necessary changes and verify the result.”
Content
“Research the topic, prepare the assets and organize everything for publishing.”
Operations
“Go through these records, organize what matters and update the right places.”
Everyday work
“Find what I need, compare the options and leave everything ready for me.”
Your tools do not need to change.
You already have a browser, files, apps, projects and accounts you use every day. Autonomous works where the work already exists. Instead of rebuilding your workflow around AI, bring AI into your workflow.
BrowserFilesAppsProjectsAccountsYour existing tools
Built for work that does not fit inside a chat box.
A chat can give you an answer. Real work usually needs a computer, files, tools, decisions and multiple steps. Autonomous connects those pieces so the conversation can continue into the real task.
From chat to action.
The difference is simple: normal AI tells you what to do. Autonomous helps the AI carry the work through.
You: “How do I do this?”
AI: gives you the steps.
You: performs the steps.
You: “Do this.”
AI + Autonomous: works through the steps.
You: reviews the result.
Connect it in four steps.
The technical setup happens once. After that, the normal experience is simply giving your AI the work.
Install and start Autonomous
Run one command to install Autonomous and launch it immediately on the computer you want the AI to use.
npm install -g autonomousmcp@latest && autonomousKeep Autonomous available
The install command starts Autonomous automatically. If you close it later, run autonomous again and keep that terminal available while you want this computer online.
autonomousPair the computer
The secure browser flow opens automatically. Sign in or create your account and the computer is paired to it.
Connect your AI
Add the Autonomous remote connection inside a compatible AI and authorize the same account.
https://mcp.octamundi.com/v2Your computer does the clicking. You keep the judgment.
Giving AI the ability to act should not mean giving up control. You choose the goal, the computer, the access and when to step in. You can disconnect the AI or the computer whenever you want.
Autonomous can change real files and run real actions when you allow it. Review permissions before connecting a computer that contains important work.
Read the security modelFrequently asked questions
The important part is simple: your AI stays your choice, and Autonomous gives it somewhere real to work.
What is Autonomous?
Autonomous gives compatible AIs a way to work on a computer instead of stopping at an answer. You provide the goal and access; the AI can use the connected computer to carry out the work.
Is Autonomous another AI?
No. It is designed to work with the AI you already want to use, such as ChatGPT, Claude, Grok, Gemini and other compatible clients.
What does remote computer control mean?
Your AI can work on a computer you connected to Autonomous even when you are interacting with the AI from somewhere else.
Do I need to be sitting at my computer?
No. Once the computer is connected and available, you can give the instruction from another device, including your phone.
Can it work with ChatGPT?
Yes, through supported ChatGPT MCP/app capabilities. Availability and write actions depend on the current ChatGPT plan and workspace permissions.
Can it work with Claude?
Yes. Claude supports remote MCP connectors on eligible products and plans, and Autonomous provides a remote connector for the paired computer.
Does it only work with ChatGPT and Claude?
No. Autonomous is built around compatible AI clients rather than a single intelligence provider.
Why use this instead of normal remote desktop software?
Remote desktop lets you control another computer. Autonomous lets your AI reason about the objective and work on that computer for you.
Why does the thinking layer matter?
Real work usually involves decisions, changing information, multiple tools and several steps. The goal needs to stay visible while those steps change.
Does Autonomous only follow fixed automations?
No. It can work from an objective rather than requiring one rigid click-by-click sequence.
Can it handle long or complex tasks?
That is one of the main reasons it exists. Multi-step work can stay organized around a larger objective instead of a pile of isolated commands.
Can I use Autonomous only from my phone?
You can interact with your AI from your phone while the connected computer performs the computer-side work when the task requires it.
Do I lose control of my computer?
No. The computer remains yours. You choose which computer to connect, what access to provide and when to disconnect it.
What happens if the AI needs my input?
When a task requires clarification, approval or judgment, the AI can come back to you rather than blindly guessing.
Is this only for developers?
No. The intended experience is outcome-first: tell your AI what you want done. The underlying technology should not be a prerequisite for delegating work.
What is MCP?
MCP is one of the technologies that lets AI systems connect to external capabilities. Autonomous uses it as part of the connection between a compatible AI and your computer.
Do I have to change the tools I already use?
No. Autonomous is designed to work around the browser, files, programs, projects and accounts that are already part of your workflow.
What kinds of things can it do?
Anything supported by the connected computer, the AI you use and the permissions you provide can become part of the workflow: research, websites, files, applications, project work and repetitive digital tasks.
What makes Autonomous different?
Most AI experiences end at the answer. Autonomous combines your choice of AI, a computer it can actually work on and a thinking orchestration layer that keeps every call organized around the larger goal.
How is Autonomous different from Codex or Claude Code?
Codex and Claude Code are powerful AI coding agents. Autonomous is a broader orchestration layer that can work with different AIs and coordinate work across the computer, browser, files, applications and other tools. Instead of being tied to one coding environment, it keeps the larger objective, context, steps and next actions organized across the whole task.
Is Autonomous just remote computer control?
No. Remote control is only the action layer. Autonomous also adds a thinking and orchestration flow around each call: it interprets the goal, organizes the work, keeps track of context and progress, decides what should happen next and coordinates the capabilities needed to reach the result. The computer is where actions happen; the orchestration layer is what keeps those actions connected to the objective.
Stop giving AI questions. Start giving it work.
Your AI already has the intelligence. Give it somewhere to act, give it a goal and let Autonomous close the distance between “I want this done” and “it’s done.”
Any AI. Your computer. Real work.