Agent-S: An open-source framework that allows AI to operate computers like humans

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Number of Stars: 7.7K+ Open Source Agent Framework: Use computers like humans for autonomous GUI interaction and task automation Agent-S is an open-source agent framework developed by Simular AI to allow AI agents to operate computers autonomously like human users.
It enables complex GUI interactions through the Agent-Computer Interface, supports cross-platform desktop environment automation, and has achieved SOTA performance on benchmarks such as OSWorld. The project emphasizes zero-shot generalization and safe execution, and is suitable for research and production-level agent development.

In recent years, the development of AI Agent has gradually moved from a “conversational model” to an “action model”. In addition to answering questions, AI also needs to actually perform tasks – open files, organize desktops, process emails, browse the web, download materials, run software……
That is: operating like a real human user.

Simular.AI open-source Agent-S is designed for this purpose.

Agent-S = An open-source framework that allows AI to see interfaces, understand buttons, click, type, drag, and complete complex multi-step tasks like a human operating a computer.

It is not script automation or fixed-coordinate RPA, but a true “OS-level agent” based on vision + large models.

Why is Agent-S important?

Traditional automation has several fatal drawbacks:

  • As soon as the interface changes, the script is useless
  • Only fixed steps can be executed, and conditional branching cannot be handled
  • Each software needs to develop instructions separately and is not universal
  • You can’t really understand the UI and you can’t do logical reasoning

But real-world tasks often are:

  • Open the browser → Search for keywords → Download files → Unzip → Rename → Upload to cloud disk
  • or
  • Open Excel → Read a column → sort → Export CSV → Send an email to a colleague

None of this can be done robustly with a simple script.

Agent-S provides a complete computer agent with perception, reasoning, and operation capabilities.

How does Agent-S work?

1. Agent-Computer Interface（ACI）

This is the core capability of Agent-S:
It transforms screenshots, GUI elements, window structures, and more into AI-understandable descriptions.

Equivalent to –
AI has acquired “eyes” and “visual understanding”.

For example, ACI will tell the model:

  • “Here’s a button: Download”
  • “This is an input box”
  • “On the left is the navigation sidebar”
  • “In the upper right corner is the settings icon”

Let AI recognize interface environments like humans.

2. Multimodal large models as “decision-making brains”

Agent-S uses any multimodal large model (OpenAI, Claude, Llama, etc.) as the decision-making core:

  • Interface structure to receive ACI
  • Combined with user commands
  • Task planning
  • Decide what to do next

For example:

“This interface requires clicking the gear in the upper right corner, then selecting Export, and then entering the file name.”

3. Hierarchical Planning

Complex tasks are not completed all at once.

Agent-S breaks down long tasks into smaller, actionable steps:

  • Find the right window
  • Open the correct app
  • Jump to the specified directory
  • Execute a subtask
  • Validate the results

This hierarchical design makes the agent more stable and controllable.

4. Cross-platform support (Windows, macOS, Linux, Android).

This is very rare.

While most open-source GUI agents can only run on a single system, Agent-S supports multiple platforms, allowing it to:

  • Stronger generalization ability
  • Wider use cases
  • Get closer to the real-world user experience

What can be done?

Automate computer tasks

For example:

  • Download + Unzip + Organize Files
  • Open the document and edit it
  • Browse the web and search for information
  • Install the app, open settings, configure parameters

Perform a multi-step process

Not just “tap”, but:

“Login → Search → Jump → Enter → Click Confirm → Download → Process File → Upload”

Operate a wide range of applications

For example:

  • Chrome
  • Finder / Explorer
  • VS Code
  • Office software
  • terminal

Automate office and data processes

Truly achieve the ability of “digital assistant”.

Performance & Benchmark (OSWorld Benchmark)

Agent-S performs well on OSWorld, a standard dataset of PC-operated tasks,
The success rate is significantly higher than that of ordinary agents or scripted automations.

This part belongs to the content of the paper, but it can be summarized in one sentence:

The stability and generalization of Agent-S in “real computer task execution” are in the leading position of open source frameworks.

How to Use?

The process given by the README is very simple:

pip install gui-agents

Then configure the model API key, run the demo, and let the Agent-S automatically control your system.

It is suitable for:

  • AI developers
  • Automation engineer
  • Digital assistant entrepreneurs
  • AI-Agent product team
  • Automated development of video / graphic creation

Summary: Meaning of Agent-S

The mission of Agent-S is clear:

Make AI truly a “digital human who can use a computer.”

It doesn’t just “answer questions”, it gets the job done.
It doesn’t just “write code”, it opens VS Code to run code.
It’s not just about “helping you with ideas,” it’s about executing ideas.

GitHub：https://github.com/simular-ai/Agent-S
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