RRepoGEO

REPOGEO REPORT · LITE

OpenBMB/AgentVerse

Default branch main · commit f90c4bd9 · scanned 5/22/2026, 11:51:45 AM

GitHub: 5,041 stars · 512 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 OpenBMB/AgentVerse, 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
  • hightopics#1
    Add specific topics for LLM multi-agent frameworks and simulation

    Why:

    CURRENT
    agent, ai, gpt, gpt-4, llm
    COPY-PASTE FIX
    agent, ai, gpt, gpt-4, llm, multi-agent-system, multi-agent-framework, llm-agents, agent-simulation, collaborative-ai
  • highreadme#2
    Strengthen the README's opening to explicitly state its category and differentiator

    Why:

    CURRENT
    **AgentVerse** is designed to facilitate the deployment of multiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **task-solving** and **simulation**.
    COPY-PASTE FIX
    **AgentVerse** is a comprehensive framework for **building, simulating, and evaluating multi-agent systems** powered by Large Language Models (LLMs). It facilitates the deployment of multiple LLM-based agents in various applications, primarily offering two frameworks: **task-solving** for collaborative tasks and **simulation** for observing emergent behaviors in configurable environments.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    [Your project's official website or documentation URL, e.g., https://agentverse.openbmb.org]

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 OpenBMB/AgentVerse
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
    Looking for a framework to deploy multiple LLM agents for collaborative task solving.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. LlamaIndex
    5. Haystack
    6. Mirasol

    AI recommended 6 alternatives but never named OpenBMB/AgentVerse. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a platform to simulate interactions between several AI agents for research.
    you: not recommended
    AI recommended (in order):
    1. Mesa (projectmesa/mesa)
    2. NetLogo (NetLogo/NetLogo)
    3. Unity (Unity-Technologies/ml-agents)
    4. OpenSpiel (deepmind/open_spiel)
    5. Gymnasium (Farama-Foundation/Gymnasium)
    6. PettingZoo (Farama-Foundation/PettingZoo)
    7. GAMA (gama-platform/gama)

    AI recommended 7 alternatives but never named OpenBMB/AgentVerse. 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 OpenBMB/AgentVerse?
    pass
    AI named OpenBMB/AgentVerse explicitly

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

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

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

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OpenBMB/AgentVerse — 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
OpenBMB/AgentVerse — RepoGEO report