RRepoGEO

REPOGEO REPORT · LITE

macOS26/Agent

Default branch main · commit fc07409a · scanned 6/22/2026, 11:17:05 PM

GitHub: 505 stars · 40 forks

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 macOS26/Agent, 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
    Clarify that Agent! is a real, actively developed project

    Why:

    COPY-PASTE FIX
    Add "Agent! is a real, actively developed open-source project for macOS." prominently near the top of the README, perhaps right after the main title.
  • highabout#2
    Refine the repository description to emphasize its role as an AI desktop application

    Why:

    CURRENT
    Mac Agent for macOS 26: the agentic AI harness for your Mac Desktop. Computer use, automation, scripting, coding, and more. Powered by 18+ providers across local and cloud LLMs.
    COPY-PASTE FIX
    Agent! for macOS 26: an agentic AI application that automates and enhances your Mac Desktop experience. It acts as an intelligent harness for computer use, powered by 18+ local and cloud LLM providers.
  • mediumcomparison#3
    Add a dedicated "Comparison" section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., `## Comparison to Alternatives` with content like: "Agent! is designed as an open-source alternative to commercial AI desktop agents such as Claude Code, Cursor, and Open Claw. Unlike generic scripting tools like AppleScript or JXA, Agent! provides a full agentic AI harness for your Mac Desktop, offering intelligent automation and interaction powered by a wide range of LLMs."

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 macOS26/Agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AppleScript
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AppleScript · recommended 2×
  2. osascript · recommended 2×
  3. PyObjC · recommended 2×
  4. Mistral · recommended 2×
  5. JavaScript for Automation (JXA) · recommended 1×
  • CATEGORY QUERY
    How can I automate Mac desktop tasks using an open-source AI agent?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. JavaScript for Automation (JXA)
    3. osascript
    4. PyObjC
    5. OpenCV
    6. Tesseract OCR
    7. pytesseract
    8. PyAutoGUI
    9. LangChain
    10. LlamaIndex
    11. Hugging Face Transformers
    12. Llama 3 family
    13. Mistral

    AI recommended 13 alternatives but never named macOS26/Agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable local and cloud LLM-powered scripting for macOS applications?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Google Gemini
    4. Python
    5. osascript
    6. PyObjC
    7. PyQt
    8. Tkinter
    9. Swift
    10. Objective-C
    11. AppleScript
    12. Ollama
    13. Llama 3
    14. Mistral
    15. Gemma
    16. Shortcuts.app
    17. Keyboard Maestro
    18. Raycast AI
    19. Scriptable.app
    20. Flask

    AI recommended 20 alternatives but never named macOS26/Agent. 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 macOS26/Agent?
    pass
    AI named macOS26/Agent explicitly

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

  • If a team adopts macOS26/Agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named macOS26/Agent 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 macOS26/Agent solve, and who is the primary audience?
    pass
    AI named macOS26/Agent explicitly

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

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