RRepoGEO

REPOGEO REPORT · LITE

agentuniverse-ai/agentUniverse

Default branch master · commit 8ea950f8 · scanned 5/12/2026, 1:42:17 AM

GitHub: 2,232 stars · 382 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 agentuniverse-ai/agentUniverse, 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 the README's opening paragraph to emphasize its production-grade framework nature

    Why:

    CURRENT
    agentUniverse is a multi-agent framework based on large language models. It provides flexible and easily extensible capabilities for building individual agents. The core of agentUniverse is a rich set of multi-agent collaborative pattern components (serving as a collaborative pattern factory), which allows agents to perform their respective duties and maximize their capabilities when solving problems in different fields; at the same time, agentUniverse focuses on the integration of domain experience, helping you smoothly integrate domain experience into the work of intelligent agents.🎉🎉🎉
    COPY-PASTE FIX
    agentUniverse is a production-grade multi-agent framework for large language models, designed to empower developers and enterprises to easily build and deploy sophisticated multi-agent applications. Originating from AntGroup's real-world financial business practices, it provides flexible, extensible capabilities and a rich set of collaborative pattern components to integrate domain experience and maximize agent performance.
  • hightopics#2
    Refine GitHub topics to remove irrelevant tags and add more specific framework-related terms

    Why:

    CURRENT
    agent, ai, ai-agents, autonomous, awesome, awesome-list, llm, multi-agent, python
    COPY-PASTE FIX
    agent, ai, ai-agents, autonomous, llm, multi-agent, python, multi-agent-framework, llm-framework, agent-framework
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add a homepage URL to the repository's 'About' section. If a dedicated project or documentation site exists, use that; otherwise, use the GitHub repository URL (https://github.com/agentuniverse-ai/agentUniverse).

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 agentuniverse-ai/agentUniverse
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGen
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGen · recommended 2×
  2. CrewAI · recommended 2×
  3. LangChain · recommended 2×
  4. LlamaIndex · recommended 2×
  5. Haystack · recommended 2×
  • CATEGORY QUERY
    What Python frameworks exist for developing collaborative multi-agent applications using large language models?
    you: not recommended
    AI recommended (in order):
    1. AutoGen
    2. CrewAI
    3. LangChain
    4. LlamaIndex
    5. Haystack
    6. SPADE

    AI recommended 6 alternatives but never named agentuniverse-ai/agentUniverse. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust framework to build intelligent agents that integrate domain-specific knowledge and collaborate effectively.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. OpenAI Assistants API
    7. Rasa

    AI recommended 7 alternatives but never named agentuniverse-ai/agentUniverse. 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 agentuniverse-ai/agentUniverse?
    pass
    AI named agentuniverse-ai/agentUniverse explicitly

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

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

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

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