RRepoGEO

REPOGEO REPORT · LITE

holaboss-ai/holaOS

Default branch main · commit 9b9ea3ca · scanned 5/8/2026, 4:16:18 AM

GitHub: 5,244 stars · 327 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 holaboss-ai/holaOS, 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
    Explicitly state holaOS's unique 'agent operating system' differentiator in the README's opening.

    Why:

    CURRENT
    holaOS is an open agent computer for any digital work. It reimagines the computer as a shared environment where humans and AI agents operate side by side—with full access to the same browser, files, and apps...
    COPY-PASTE FIX
    holaOS is an open agent computer for any digital work, providing an operating system metaphor and graphical user interface (GUI) for orchestrating and managing multiple AI agents. It reimagines the computer as a shared environment where humans and AI agents operate side by side—with full access to the same browser, files, and apps, offering a more visual and interactive environment than most code-driven agent frameworks.
  • mediumtopics#2
    Add more specific topics for agent orchestration and desktop interaction.

    Why:

    CURRENT
    agent, agent-harness, agent-os, agentic, ai, ai-agent, ai-agents, artificial-intelligence, electron, holaboss, holaos, llm, mcp, memory, model-context-protocol, proactive, proactive-ai, runtime, typescript, workspace
    COPY-PASTE FIX
    agent, agent-harness, agent-os, agentic, ai, ai-agent, ai-agents, artificial-intelligence, electron, holaboss, holaos, llm, mcp, memory, model-context-protocol, proactive, proactive-ai, runtime, typescript, workspace, agent-orchestration, agent-management, desktop-interaction, gui-automation, human-ai-collaboration
  • mediumreadme#3
    Add a 'How is holaOS different?' comparison section to the README.

    Why:

    COPY-PASTE FIX
    ## How is holaOS different?
    Unlike traditional desktop automation tools (e.g., Playwright, PyAutoGUI, UIPath), holaOS is not just about scripting tasks; it provides a full operating environment for AI agents to collaborate with humans. Compared to code-driven agent frameworks (e.g., LangChain, AutoGPT, OpenAI Assistants API), holaOS offers a complete graphical user interface (GUI) and a persistent workspace, enabling agents to operate continuously with shared memory and context across applications, rather than requiring developers to build and manage individual agent lifecycles from scratch.

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 holaboss-ai/holaOS
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 1×
  2. PyAutoGUI · recommended 1×
  3. UIPath · recommended 1×
  4. Microsoft Power Automate Desktop · recommended 1×
  5. Appium · recommended 1×
  • CATEGORY QUERY
    How can I enable AI agents to autonomously interact with my desktop applications?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. PyAutoGUI
    3. UIPath
    4. Microsoft Power Automate Desktop
    5. Appium
    6. SikuliX
    7. Tesseract
    8. Google Cloud Vision API
    9. OpenCV

    AI recommended 9 alternatives but never named holaboss-ai/holaOS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a platform to build and run proactive AI agents for task automation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Assistants API
    2. LangChain
    3. AutoGPT
    4. BabyAGI
    5. Microsoft Semantic Kernel
    6. CrewAI
    7. LlamaIndex

    AI recommended 7 alternatives but never named holaboss-ai/holaOS. 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 holaboss-ai/holaOS?
    pass
    AI did not name holaboss-ai/holaOS — 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 holaboss-ai/holaOS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named holaboss-ai/holaOS 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 holaboss-ai/holaOS solve, and who is the primary audience?
    pass
    AI named holaboss-ai/holaOS explicitly

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

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holaboss-ai/holaOS — 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