RRepoGEO

REPOGEO REPORT · LITE

coasty-ai/open-computer-use

Default branch production · commit 0c0c7d5d · scanned 6/13/2026, 12:46:37 AM

GitHub: 761 stars · 92 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface coasty-ai/open-computer-use, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 and subtitle to clearly state it's an AI agent platform

    Why:

    CURRENT
    # Open Computer Use

**AI agents that control computers like humans do.**

Browser automation · Terminal access · Desktop control · Multi-agent orchestration
    COPY-PASTE FIX
    # Open Computer Use: State-of-the-Art AI Agents for Autonomous Computer Control

**An open-source platform for AI agents that control computers like humans do, enabling browser automation, terminal access, and desktop control.**
  • mediumtopics#2
    Refine repository topics to emphasize AI agent functionality and differentiate from generic automation

    Why:

    CURRENT
    agent, agentic-framework, ai, ai-agents, anthropic, automation, claude, computer-control, computer-use, computer-use-agent, full-stack, gemini-ai, google-api, gui-automation, llm, llm-agents, one-person-company, openai, saas-application, solo-founder
    COPY-PASTE FIX
    agent, agentic-framework, ai, ai-agents, anthropic, automation, claude, computer-control, computer-use, computer-use-agent, desktop-automation, gemini-ai, google-api, gui-automation, llm, llm-agents, openai, autonomous-agents, web-automation
  • lowreadme#3
    Add a 'Comparison' section to the README to explicitly state core differentiators

    Why:

    COPY-PASTE FIX
    ## Comparison to Other Tools

Unlike generic browser or GUI automation libraries (e.g., Playwright, PyAutoGUI), Open Computer Use provides a complete, production-ready framework for AI agents to autonomously perceive and interact with any computer environment. While other LLM agent frameworks exist, Open Computer Use focuses specifically on robust, observable, and extensible computer control capabilities.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface coasty-ai/open-computer-use
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SeleniumHQ/selenium
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SeleniumHQ/selenium · recommended 2×
  2. microsoft/playwright · recommended 1×
  3. Python · recommended 1×
  4. asweigart/pyautogui · recommended 1×
  5. get-window/pygetwindow · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent to automate desktop tasks and web browsing workflows?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Python
    3. PyAutoGUI (asweigart/pyautogui)
    4. pygetwindow (get-window/pygetwindow)
    5. pywinauto (pywinauto/pywinauto)
    6. AppKit
    7. Pillow (python-pillow/Pillow)
    8. Puppeteer (puppeteer/puppeteer)
    9. Node.js
    10. robotjs (octalmage/robotjs)
    11. electron (electron/electron)
    12. UiPath
    13. Microsoft Power Automate Desktop
    14. WinAutomation
    15. Selenium (SeleniumHQ/selenium)
    16. Selenium WebDriver (SeleniumHQ/selenium)
    17. Java
    18. C#
    19. AutoItX (AutoIt/AutoIt)
    20. FlaUI (FlaUI/FlaUI)
    21. AutoHotkey (AutoHotkey/AutoHotkey)
    22. AppleScript

    AI recommended 22 alternatives but never named coasty-ai/open-computer-use. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source framework enabling LLM agents to interact with a computer's GUI.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. Agent-Browser
    3. Open Interpreter
    4. MiniWoB++
    5. GPT-Engineer

    AI recommended 5 alternatives but never named coasty-ai/open-computer-use. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of coasty-ai/open-computer-use?
    pass
    AI did not name coasty-ai/open-computer-use — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts coasty-ai/open-computer-use in production, what risks or prerequisites should they evaluate first?
    pass
    AI named coasty-ai/open-computer-use explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo coasty-ai/open-computer-use solve, and who is the primary audience?
    pass
    AI named coasty-ai/open-computer-use explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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coasty-ai/open-computer-use — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite