RRepoGEO

REPOGEO REPORT · LITE

agentscope-ai/AgentTeams

Default branch main · commit 6570fd6b · scanned 6/26/2026, 2:47:03 PM

GitHub: 4,934 stars · 583 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 agentscope-ai/AgentTeams, 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 clarify its category

    Why:

    CURRENT
    **HiClaw is an open-source collaborative multi-agent runtime platform. It enables multiple Agents to collaborate in a controlled and auditable room, with full human visibility and intervention capabilities throughout the process..**
    COPY-PASTE FIX
    HiClaw is an open-source **Multi-Agent Orchestration System** designed for transparent, human-in-the-loop task coordination. It enables multiple AI agents to collaborate in controlled, auditable environments, offering full human visibility and intervention capabilities, particularly suited for enterprise environments and integration via Matrix rooms.
  • hightopics#2
    Expand repository topics to include broader category keywords

    Why:

    CURRENT
    agent-teams, openclaw
    COPY-PASTE FIX
    multi-agent-system, ai-orchestration, human-in-the-loop, enterprise-ai, collaborative-ai, agent-framework, matrix-rooms
  • mediumabout#3
    Refine the repository description for better keyword alignment

    Why:

    CURRENT
    An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.
    COPY-PASTE FIX
    An open-source **Multi-Agent Orchestration System** (OS) for transparent, human-in-the-loop task coordination via Matrix rooms, designed for enterprise collaborative AI frameworks.

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 agentscope-ai/AgentTeams
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. CrewAI · recommended 2×
  3. Haystack · recommended 2×
  4. AutoGen · recommended 2×
  5. OpenAI Assistants API · recommended 2×
  • CATEGORY QUERY
    How can I build a multi-agent system with human oversight and collaboration features?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangServe
    3. LangSmith
    4. CrewAI
    5. Haystack
    6. AutoGen
    7. OpenAI Assistants API
    8. LlamaIndex
    9. FastAPI
    10. Node.js/Express
    11. React
    12. Vue.js
    13. Angular

    AI recommended 13 alternatives but never named agentscope-ai/AgentTeams. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help orchestrate multiple AI agents for enterprise task coordination?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. OpenAI Assistants API
    4. Haystack
    5. CrewAI
    6. AutoGen
    7. LlamaIndex

    AI recommended 7 alternatives but never named agentscope-ai/AgentTeams. 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 agentscope-ai/AgentTeams?
    pass
    AI named agentscope-ai/AgentTeams explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of agentscope-ai/AgentTeams. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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  • Brand-free category queries5 vs 2 in Lite
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