RRepoGEO

REPOGEO REPORT · LITE

fathah/hermes-desktop

Default branch main · commit 68e9693a · scanned 5/13/2026, 12:17:15 PM

GitHub: 4,405 stars · 499 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 fathah/hermes-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

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

OVERALL DIRECTION
  • highreadme#1
    Add a concise positioning statement at the top of the README

    Why:

    COPY-PASTE FIX
    (Add this line right after the initial badges/links, before the "This project is in active development" warning.)
    
    **Hermes Desktop is a native desktop application for easily installing, configuring, and chatting with local AI agents like Hermes Agent.**
  • mediumabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    Desktop Companion for Hermes Agent
    COPY-PASTE FIX
    Native desktop GUI for installing, configuring, and chatting with local AI agents like Hermes Agent.

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 fathah/hermes-desktop
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 1×
  2. ollama/ollama · recommended 1×
  3. janhq/jan · recommended 1×
  4. nomic-ai/gpt4all · recommended 1×
  5. go-skynet/LocalAI · recommended 1×
  • CATEGORY QUERY
    How to manage and chat with local AI agents using a desktop application?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama (ollama/ollama)
    3. Jan (janhq/jan)
    4. GPT4All (nomic-ai/gpt4all)
    5. LocalAI (go-skynet/LocalAI)
    6. KoboldAI Lite (KoboldAI/KoboldAI-Client)

    AI recommended 6 alternatives but never named fathah/hermes-desktop. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a desktop GUI to simplify configuration and interaction with self-improving AI assistants.
    you: not recommended
    AI recommended (in order):
    1. Electron
    2. PyQt
    3. PySide
    4. Flutter
    5. Avalonia UI
    6. Tauri
    7. WPF
    8. SwiftUI
    9. AppKit

    AI recommended 9 alternatives but never named fathah/hermes-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 fathah/hermes-desktop?
    pass
    AI named fathah/hermes-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 fathah/hermes-desktop in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fathah/hermes-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 fathah/hermes-desktop solve, and who is the primary audience?
    pass
    AI named fathah/hermes-desktop explicitly

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

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