Connects to the tools your work already runs on
Extensible to anything via MCP or CLI — connect tools Atticus doesn't know about yet.
How it works
From goal to done — without the glue code.
Most agentic stacks demand that you become the infrastructure engineer. Atticus lets you be the person who just describes the work.
01
Open Atticus in your browser
No install. No Docker setup. No API key juggling before you've done anything useful. Atticus runs in the browser, connects to your accounts, and is ready to work within minutes.
Supports Google Drive, Notion, Slack, Gmail, GitHub, Linear — and anything accessible via MCP or CLI.
02
Give it a goal, not a script
You describe what you want done — research this, process these files, monitor this condition and act when it changes. Atticus plans the steps, picks the right tools, and gets to work.
Use voice, Telegram, or the browser UI — whichever is closest when the idea hits.
03
It runs. You don't babysit.
Atticus works across your connected systems in the background. If a step breaks, it repairs the path and keeps going. You're not watching a log file.
Self-repair means fewer brittle workflows. The agent handles variance; you handle decisions.
04
It calls you when it's done
Atticus phones you — literally — to let you know work is complete and ask what to do next. You can also call it whenever you want a status update or to redirect the work.
Not a push notification. Not an email. A phone call. You stay in the loop without staying in the tab.
Why Atticus is different
Less infrastructure. More actual work.
The alternative isn't another agent platform. It's stitching together OpenAI's API, a vector store, a task queue, a credential manager, and five other things before you've done a single useful task.
What it does
Designed around how agents actually need to work.
It calls you. You call it.
When a workflow finishes — or hits something it needs help with — Atticus phones you. You can call back anytime for a status update, to redirect the work, or to ask what happened. No babysitting a tab.
An interface you already understand
Windows, panels, menus — Atticus uses a familiar desktop metaphor instead of hiding everything behind a chat prompt. You can see what the agent is doing and intervene without decoding a log file.
Works where you are
Browser, voice, or Telegram — reach Atticus from whatever is closest. You don't have to open a new tab every time you want to give an instruction or check in on running work.
Self-repairs when steps break
When one tool in a workflow fails, Atticus doesn't just stop and wait for you to fix it. It detects the problem, finds an alternative path, and keeps going — or tells you exactly why it couldn't.
Any model. Any provider.
Atticus isn't tied to one LLM. Use GPT-4o, Claude, Gemini, or a local model — switch without changing how your workflows are configured. The best model for a given task, not the one you happened to start with.
Thousands of tools. Extensible to anything.
Connect the tools your work already runs on — Drive, Notion, Slack, Linear, GitHub. Extend to custom tools via MCP or CLI. Atticus grows with what you need rather than constraining what you can do.
What you can do with it
Real work. Not demos.
Turn a pile of sources into a finished document
Point Atticus at a folder, a set of URLs, or a Notion database. It reads, reasons across the material, and produces a structured output — summary, analysis, briefing — while you focus on something else. When it's done, it calls you.
Why we built it
We put your work at the center of the flow.
Most AI tools ask you to learn their model. Atticus works the other way: you describe what you need, and Atticus proposes how to get it done — which tools to involve, which steps to run, who to loop in.
You stay in control of the intent. Atticus handles the orchestration. When it needs a decision, it finds you — it doesn't wait for you to check in.
The result is software that collaborates with you, not software you have to manage.