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Tools🤖 Automation & AgentsClevrr Computer
Clevrr Computer

Clevrr Computer

Free

Open-source AI desktop automation agent using PyAutoGUI.

By Tanmay Verma, Founder · Last verified 03 Jul 2026

0 views
Added 8d ago
69/100Monitor
Visit Website

In short

Clevrr Computer — Open-source AI desktop automation agent using PyAutoGUI. Best for Developers experimenting with AI-driven desktop automation, Open-source contributors looking to build on a computer-use agent, Hobbyists wanting to automate repetitive desktop tasks with AI. Free to use.

Compared withvs Locus Roboticsvs Truleovs Presto Voice

Is Clevrr Computer actually worth it?

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Editorial Verdict

Best for
Developers experimenting with AI-driven desktop automationOpen-source contributors looking to build on a computer-use agentHobbyists wanting to automate repetitive desktop tasks with AIStudents learning about multi-modal AI agents and computer vision
Not ideal for
Non-technical users who need a plug-and-play automation toolProduction enterprise deployments requiring reliability and supportMobile or web-only automation (desktop-only, no mobile)Workflows needing high accuracy or safety (beta, risk of unintended actions)Tasks requiring complex logic or integration with enterprise systems

A solid open-source starting point for desktop AI automation, but still beta with limited model support. Techie enough to tinker with, not yet ready for mission-critical work.

Last verified: July 2026

Viability Score

69/100
Monitor

How likely is Clevrr Computer to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Automate mouse movements and clicks
  • Simulate keyboard inputs
  • Capture screenshots with coordinate grid
  • Manage windows (minimize, resize, close)
  • Use Langchain agents for task decomposition
  • Integrate with Azure OpenAI models (GPT-4, etc.)
  • Integrate with Gemini models (Gemini Pro, etc.)
  • Multi-modal screen understanding via LLM
  • Chain-of-thought reasoning for complex tasks
  • Floating UI overlay (TKinter)
  • Error handling with feedback loop
  • Open-source (MIT license)
  • Runs locally on desktop (no cloud dependency)
  • Beta safety precautions (isolated VM, human confirmation)
  • Python-based (pip install, simple CLI)

About Clevrr Computer

FreeIntermediateNo APIDesktop · CLI

Clevrr Computer is an open-source implementation inspired by Anthropic's Computer Use concept, designed to automate desktop tasks using AI agents. It leverages the PyAutoGUI library to simulate mouse movements, clicks, keyboard inputs, screenshots, and window management, executing precise system actions on behalf of the user. Built for developers and AI enthusiasts, it integrates with Langchain, Azure OpenAI, and Gemini models to enable multi-modal AI-driven desktop automation. The agent works by continuously capturing screenshots, analyzing them via a multi-modal LLM, and directing actions using a chain-of-thought approach. Currently in beta, Clevrr Computer emphasizes safety and accuracy, recommending the use of isolated virtual machines and human confirmation for sensitive tasks to mitigate risks like prompt injection. Unlike cloud-based automation tools, Clevrr Computer runs locally on your desktop, offering full control and transparency with its open-source codebase. It is ideal for experimentation and prototyping, but its beta status and reliance on screen coordinates make it less suitable for production or complex workflows where reliability is paramount.

Behind the Verdict

Clevrr Computer is a neat open-source project that brings Anthropic's Computer Use concept to your own machine. It uses PyAutoGUI to simulate mouse and keyboard actions, guided by an AI agent that screenshots your desktop and decides what to do. If you're a developer wanting to experiment with desktop automation or contribute to an open-source AI tool, this is a great sandbox. However, it's firmly in beta — the README itself warns about risks like prompt injection and unintended actions. The model support is currently limited to Gemini and Azure OpenAI; no Claude/OpenAI or local models out of the box. For production workflows, you'd be better off with a mature RPA tool like UiPath or Automation Anywhere, or a cloud-based solution like Browserbase. Clevrr Computer makes sense when you want full transparency and control, running locally, with the ability to hack on the code. But expect to invest time in setup, safety precautions, and handling edge cases — it's not a plug-and-play automation solution.

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Use Cases

  • Automate repetitive data entry tasks across applications.
  • Test GUI interactions by simulating clicks and keystrokes.
  • Create macros for complex workflows using AI agents.
  • Demo AI-driven desktop automation for presentations.
  • Assist with accessibility tasks via voice or LLM commands.

Models Under the Hood

Azure OpenAIGemini

Limitations

  • Clevrr Computer is a beta feature with inherent risks distinct from standard API features.
  • The tool has a small community and limited documentation, and model support is currently restricted to Langchain, Azure OpenAI, and Gemini.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Integrations

LangchainAzure OpenAIGeminiPyAutoGUIGitHub

Resources & Guides

  • Resourcegithub.com

    Release Notes · Clevrr Computer

    Helpful link from github.com

  • Resourcegithub.com

    Clevrr Computer · Clevrr Computer

    Helpful link from github.com

Frequently Asked Questions

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Details

Pricing
Free
Skill Level
Intermediate
Platforms
Desktop, CLI
API Available
No
Pricing & overview verified
7d ago

Categories

🤖 Automation & Agents

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Topics

AutomationAgentOpen Source

Resources

Official WebsiteChangelog
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