RRepoGEO

REPOGEO REPORT · LITE

Whopus/yome-agent

Default branch main · commit 4b1647e7 · scanned 5/7/2026, 6:42:29 PM

GitHub: 826 stars · 51 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Whopus/yome-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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Yome Agent is an open-source Empower Kernel that integrates LLMs with your local devices and native applications for workflow automation and agentic context.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, ai-agent, workflow-automation, local-apps, native-skills, bash-kernel, empower-kernel, generative-ai, context-management
  • mediumreadme#3
    Strengthen the README's opening sentence for clarity

    Why:

    CURRENT
    Yome Agent is not yet another chat agent. It is the open-source substrate of Yome — an **Empower Kernel** that weaves the LLM, your devices and your native apps into one runtime.
    COPY-PASTE FIX
    Yome Agent is an open-source **Empower Kernel** that integrates LLMs with your local devices and native applications, enabling AI agents to use native skills and manage context for workflow automation. It is not just another chat agent, but the substrate that weaves the LLM, your devices, and your native apps into one runtime.

Category GEO backends resolved for this scan: google/gemini-2.0-flash-001, deepseek/deepseek-chat

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.0-flash-001. 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 Whopus/yome-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. OpenAI API · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How can I integrate an LLM with my local applications and devices for workflow automation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. Microsoft Semantic Kernel
    6. Haystack
    7. LocalAI

    AI recommended 7 alternatives but never named Whopus/yome-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are open-source tools for AI agents to use native system applications and manage context?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AutoGen (microsoft/autogen)
    3. Semantic Kernel (microsoft/semantic-kernel)
    4. Haystack (deepset-ai/haystack)
    5. Camel (camel-ai/camel)
    6. CrewAI (joaomdmoura/crewai)
    7. GPTScript (gptscript-ai/gptscript)

    AI recommended 7 alternatives but never named Whopus/yome-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
    fail

    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 Whopus/yome-agent?
    pass
    AI named Whopus/yome-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 Whopus/yome-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Whopus/yome-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 Whopus/yome-agent solve, and who is the primary audience?
    pass
    AI did not name Whopus/yome-agent — 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?

Embed your GEO score

Drop this badge into the README of Whopus/yome-agent. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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