RRepoGEO

REPOGEO REPORT · LITE

agentuniverse-ai/agentUniverse

Default branch master · commit 8ea950f8 · scanned 6/22/2026, 7:47:11 AM

GitHub: 2,274 stars · 395 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
    Strengthen README's opening statement with unique value proposition

    Why:

    CURRENT
    ## What is agentUniverse?
    
    **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.🎉🎉🎉
    
    **🌈🌈🌈agentUniverse originates from the real-world financial business practices of AntGroup (https://github.com/antgroup), dedicated to assisting developers and enterprises in effortlessly constructing domain-expert-level intelligent agents that collaborate to accomplish tasks.**
    COPY-PASTE FIX
    **agentUniverse is a robust multi-agent framework for large language models, originating from AntGroup's real-world financial business practices.** It empowers developers and enterprises to effortlessly construct domain-expert-level intelligent agents that collaborate to solve complex problems. Our framework provides flexible, extensible capabilities for building individual agents and a rich set of multi-agent collaborative pattern components, focusing on integrating domain experience into intelligent agent workflows.🎉🎉🎉
  • mediumhomepage#2
    Add a homepage URL to the 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/agentuniverse-ai/agentUniverse
  • lowtopics#3
    Refine GitHub topics for better categorization

    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, framework, orchestration, antgroup, financial-ai, domain-specific-ai

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
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    What are the best Python frameworks for developing multi-agent LLM applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. LlamaIndex
    5. Haystack
    6. DSPy

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

    Show full AI answer
  • CATEGORY QUERY
    How can I build intelligent agents that collaborate to solve complex domain-specific problems?
    you: not recommended
    AI recommended (in order):
    1. JADE
    2. SPADE
    3. Anylogic
    4. NetLogo
    5. Mesa
    6. OpenAI Gym
    7. Stable Baselines3
    8. Ray RLlib
    9. Microsoft Bond

    AI recommended 9 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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agentuniverse-ai/agentUniverse — 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