RRepoGEO

REPOGEO REPORT · LITE

lahfir/agent-desktop

Default branch main · commit 239ebf02 · scanned 6/13/2026, 5:36:46 PM

GitHub: 840 stars · 47 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 lahfir/agent-desktop, 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
    Strengthen the README's opening to clarify its Rust-native, AI-agent-focused, accessibility-tree approach

    Why:

    CURRENT
    **agent-desktop** is a native desktop automation CLI designed for AI agents, built with Rust. It gives structured access to any application through OS accessibility trees — no screenshots, no pixel matching, no browser required.
    COPY-PASTE FIX
    **agent-desktop** is a Rust-native CLI, purpose-built for AI agents, enabling precise desktop automation by directly interacting with OS accessibility trees. It provides structured JSON output and deterministic element references, eliminating the need for screenshots, pixel matching, or browser dependencies.
  • mediumtopics#2
    Add more specific topics to highlight AI agent integration and structured UI data

    Why:

    CURRENT
    accessibility, accessibility-api, ai-agents, automation, cli, desktop-automation, macos, mcp, rust
    COPY-PASTE FIX
    accessibility, accessibility-api, ai-agents, automation, cli, desktop-automation, macos, mcp, rust, llm-agents, structured-ui, ui-automation-api, rust-cli
  • mediumfaq#3
    Add a FAQ section to the README to clarify common misconceptions

    Why:

    COPY-PASTE FIX
    ## FAQ

### Is Agent Desktop a GUI application?
No, Agent Desktop is a native Rust command-line interface (CLI) designed for programmatic control by AI agents. It does not provide a graphical user interface for direct human interaction.

### What is Agent Desktop's core technology stack?
Agent Desktop is built entirely in Rust, providing a fast, single-binary solution with no runtime dependencies. It leverages OS accessibility trees for structured interaction, not web technologies like Electron or React.

### How does Agent Desktop differ from traditional desktop automation tools like AppleScript or Pywinauto?
Unlike general-purpose automation tools, Agent Desktop is specifically engineered for AI agents. It provides structured JSON output and deterministic element references via accessibility trees, making it ideal for AI systems that require reliable, semantic interaction with desktop applications, without relying on visual cues or scripting languages.

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 lahfir/agent-desktop
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. Microsoft UI Automation · recommended 1×
  3. pywinauto/pywinauto · recommended 1×
  4. FlaUI/FlaUI · recommended 1×
  5. AXUIElement · recommended 1×
  • CATEGORY QUERY
    How can AI agents programmatically control desktop applications using accessibility trees?
    you: not recommended
    AI recommended (in order):
    1. Microsoft UI Automation
    2. Pywinauto (pywinauto/pywinauto)
    3. FlaUI (FlaUI/FlaUI)
    4. AppleScript
    5. AXUIElement
    6. Appium (appium/appium)
    7. Python-AT-SPI (GNOME/pyatspi2)
    8. Dogtail (dogtail/dogtail)

    AI recommended 8 alternatives but never named lahfir/agent-desktop. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    CLI tool to automate macOS applications and extract structured data from UI elements?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. JXA (JavaScript for Automation)
    3. UI Browser
    4. Keyboard Maestro
    5. Hammerspoon (Hammerspoon/hammerspoon)
    6. Puppeteer (puppeteer/puppeteer)
    7. Playwright (microsoft/playwright)
    8. SikuliX (SikuliX/SikuliX1)

    AI recommended 8 alternatives but never named lahfir/agent-desktop. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 lahfir/agent-desktop?
    pass
    AI named lahfir/agent-desktop explicitly

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

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

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

Embed your GEO score

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lahfir/agent-desktop — 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