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Agent S

Agent S AI Agent
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Overview

Open-source GUI agent framework that lets an LLM use your computer like a human via an Agent-Computer Interface.

Agent S is an open-source framework for building and running “computer use” GUI agents that can autonomously operate a computer through an Agent-Computer Interface. It’s designed to let an LLM plan and execute multi-step tasks by observing the screen and taking actions (e.g., clicking, typing, navigating) on supported platforms (Linux, macOS, Windows). The project provides a CLI to run the agent, supports multiple model providers (including OpenAI, Anthropic, Gemini, OpenRouter, and vLLM), and recommends pairing a main LLM with a separate grounding model for UI understanding. Agent S also includes evaluation assets and reports results on established computer-use benchmarks such as OSWorld.

Product overview

Capabilities, pricing and fit

Agent S is best understood as an agent-development framework. Agent S: an open agentic framework that uses computers like a human.

Information as of July 30, 2026

What it can do

  • Agent application development

    Agent S: an open agentic framework that uses computers like a human.[1]

Where it fits best

  • Building computer-use agents that can operate desktop apps and websites through a GUI.[1]

Pricing and availability

Access: Source repository[1]

Sources (1)
  1. GitHub - simular-ai/Agent-S: Agent S: an open agentic framework that uses computers like a human · GitHubGitHub · checked 2026-07-30

Autonomy level

75/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: Agent S demonstrates high autonomy as a GUI agent capable of autonomous interaction with computers through direct keyboard and mouse control. It autonomously decomposes complex, multi-step tasks into executable subtasks using experience-augmented hierarchical planning. The framework operates with an Experience-Augmented Hierarchical Planning method...

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Custom Comparisons

Some of the use cases of Agent S:

  • Building computer-use agents that can operate desktop apps and websites through a GUI.
  • Automating multi-step workflows on a real computer with an agentic CLI runner.
  • Experimenting with grounding + planning model combinations for more reliable UI interaction.
  • Evaluating computer-use agents on benchmarks like OSWorld and related environments.

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Pricing model:

Code access:

Popularity level: 71%

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