RRepoGEO

REPOGEO REPORT · LITE

e2b-dev/open-computer-use

Default branch master · commit abbf8602 · scanned 5/24/2026, 12:18:17 AM

GitHub: 2,032 stars · 235 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /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
3 / 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 e2b-dev/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 README H1 and opening sentence for clarity on AI desktop control

    Why:

    CURRENT
    # Open Computer Use
A secure cloud Linux computer powered by E2B Desktop Sandbox and controlled by open-source LLMs.
    COPY-PASTE FIX
    # Open Computer Use: AI Agent for Secure Graphical Desktop Control
A framework for open-source LLMs to autonomously control and interact with a cloud Linux desktop environment, featuring keyboard, mouse, and shell command operation within a secure sandbox.
  • mediumtopics#2
    Add specific topics for AI desktop control and sandboxing

    Why:

    CURRENT
    agent, ai, anthropic, claude, computer-use, llm
    COPY-PASTE FIX
    agent, ai, llm, computer-use, desktop-automation, remote-control, graphical-user-interface, sandbox, e2b
  • lowreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike traditional remote desktop solutions (e.g., Azure Virtual Desktop, AWS WorkSpaces, Apache Guacamole), Open Computer Use is specifically designed for programmatic control by AI agents, not human users. While tools like PyAutoGUI or Selenium offer UI automation, they lack the integrated LLM-driven decision-making and secure sandboxed environment that Open Computer Use provides. It differs from generic AI agent frameworks (e.g., AutoGPT, GPT-Engineer) by focusing specifically on graphical desktop interaction and control.

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 e2b-dev/open-computer-use
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. GPT-3.5 Turbo · recommended 1×
  3. Azure Virtual Desktop · recommended 1×
  4. AWS WorkSpaces · recommended 1×
  5. Apache Guacamole · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent for controlling a remote desktop securely?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. GPT-3.5 Turbo
    3. Azure Virtual Desktop
    4. AWS WorkSpaces
    5. Apache Guacamole
    6. LangChain (langchain-ai/langchain)
    7. LlamaIndex (run-llama/llama_index)
    8. AnyDesk
    9. TeamViewer
    10. Tailscale
    11. ZeroTier
    12. Puppeteer (puppeteer/puppeteer)
    13. Selenium (SeleniumHQ/selenium)
    14. TightVNC
    15. RealVNC
    16. OpenVPN (OpenVPN/openvpn)
    17. PyAutoGUI (asweigart/pyautogui)
    18. SikuliX (sikulix/sikulix)
    19. RDP
    20. Microsoft Power Automate Desktop
    21. Azure Bastion

    AI recommended 21 alternatives but never named e2b-dev/open-computer-use. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for tools to enable open source LLMs to interact with a graphical desktop environment.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. GPT-Engineer
    3. PyAutoGUI
    4. Selenium
    5. Appium
    6. SikuliX

    AI recommended 6 alternatives but never named e2b-dev/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 e2b-dev/open-computer-use?
    pass
    AI named e2b-dev/open-computer-use explicitly

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

  • If a team adopts e2b-dev/open-computer-use in production, what risks or prerequisites should they evaluate first?
    pass
    AI named e2b-dev/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 e2b-dev/open-computer-use solve, and who is the primary audience?
    pass
    AI named e2b-dev/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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e2b-dev/open-computer-use — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
e2b-dev/open-computer-use — RepoGEO report