RRepoGEO

REPOGEO REPORT · LITE

YeQing17-2026/OmniAgent

Default branch main · commit 4d22e25b · scanned 5/26/2026, 11:23:04 AM

GitHub: 1,425 stars · 237 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 YeQing17-2026/OmniAgent, 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
    Reposition README opening to clarify unique framework value

    Why:

    CURRENT
    **OmniAgent** is an open-source self-evolving Agent framework inspired by OpenClaw. It's the only agent that implements full-dimensional self-evolution (**OmniEvolve**):
    COPY-PASTE FIX
    **OmniAgent** is the pioneering open-source **AI agent framework** that uniquely combines **full-dimensional self-evolution (OmniEvolve)** with advanced **dynamic security hardening** capabilities. Inspired by OpenClaw, it's designed for agents that continuously adapt, learn, and secure themselves in real-time.
  • hightopics#2
    Add descriptive, widely recognized topics

    Why:

    CURRENT
    agent, hermes, open-claw
    COPY-PASTE FIX
    ai-agent, agent-framework, self-evolving-ai, autonomous-agents, llm-agents, ai-security, security-hardening
  • mediumlicense#3
    Clarify existing license in README

    Why:

    COPY-PASTE FIX
    ## License 
     OmniAgent is released under a custom license. Please refer to the [LICENSE file](LICENSE) for full terms and conditions.

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 YeQing17-2026/OmniAgent
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Gym
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Gym · recommended 1×
  2. Microsoft Security Copilot · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. RLlib · recommended 1×
  5. TensorFlow Privacy · recommended 1×
  • CATEGORY QUERY
    Looking for an AI agent framework that can dynamically adapt and improve its security posture.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Microsoft Security Copilot
    3. Hugging Face Transformers
    4. RLlib
    5. TensorFlow Privacy
    6. PyTorch Opacus
    7. Apache Flink
    8. Apache Kafka

    AI recommended 8 alternatives but never named YeQing17-2026/OmniAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks offer autonomous skill creation and context adaptation for personalized AI agents?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. LlamaIndex
    4. Microsoft AutoGen
    5. Haystack
    6. OpenAI Assistants API
    7. BabyAGI

    AI recommended 7 alternatives but never named YeQing17-2026/OmniAgent. 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 YeQing17-2026/OmniAgent?
    pass
    AI named YeQing17-2026/OmniAgent explicitly

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

  • If a team adopts YeQing17-2026/OmniAgent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named YeQing17-2026/OmniAgent 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 YeQing17-2026/OmniAgent solve, and who is the primary audience?
    pass
    AI named YeQing17-2026/OmniAgent explicitly

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

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MARKDOWN (README)
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YeQing17-2026/OmniAgent — 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