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
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highreadme#1Strengthen 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#2Add a homepage URL to the 'About' section
Why:
COPY-PASTE FIXhttps://github.com/agentuniverse-ai/agentUniverse
- lowtopics#3Refine GitHub topics for better categorization
Why:
CURRENTagent, ai, ai-agents, autonomous, awesome, awesome-list, llm, multi-agent, python
COPY-PASTE FIXagent, 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.
- LangChain · recommended 1×
- AutoGen · recommended 1×
- CrewAI · recommended 1×
- LlamaIndex · recommended 1×
- Haystack · recommended 1×
- CATEGORY QUERYWhat are the best Python frameworks for developing multi-agent LLM applications?you: not recommendedAI recommended (in order):
- LangChain
- AutoGen
- CrewAI
- LlamaIndex
- Haystack
- DSPy
AI recommended 6 alternatives but never named agentuniverse-ai/agentUniverse. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow can I build intelligent agents that collaborate to solve complex domain-specific problems?you: not recommendedAI recommended (in order):
- JADE
- SPADE
- Anylogic
- NetLogo
- Mesa
- OpenAI Gym
- Stable Baselines3
- Ray RLlib
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI named agentuniverse-ai/agentUniverse explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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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