RRepoGEO

REPOGEO REPORT · LITE

HKUDS/AgentSpace

Default branch main · commit 5e0323d0 · scanned 6/30/2026, 8:17:37 PM

GitHub: 579 stars · 69 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 HKUDS/AgentSpace, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening statement for AI categorization

    Why:

    CURRENT
    AgentSpace is an agent-native collaborative workspace for **human + agent teams**.

Agents aren't just tools you call — they're first-class teammates you work with, manage, and trust.
    COPY-PASTE FIX
    AgentSpace is the premier **agent-native collaborative workspace** designed specifically for **human + AI agent teams**. Unlike generic collaboration platforms, AgentSpace treats AI agents as first-class teammates, providing a dedicated environment for managing, collaborating with, and auditing intelligent agents in complex workflows.
  • mediumreadme#2
    Add a 'Why AgentSpace?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why AgentSpace? Differentiating from Existing Tools

While tools like Microsoft Teams or Slack facilitate human collaboration, and frameworks like LangChain or AutoGen enable agent development, AgentSpace uniquely combines these by offering a dedicated, secure, and auditable workspace for **human-agent teams**. We focus on the operational aspects of integrating agents into organizational workflows, providing features for role definition, permissions, and shared task execution that go beyond simple agent orchestration or general human communication platforms.

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 HKUDS/AgentSpace
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Teams
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Teams · recommended 1×
  2. Azure OpenAI Service · recommended 1×
  3. Microsoft Copilot · recommended 1×
  4. Slack · recommended 1×
  5. Zapier · recommended 1×
  • CATEGORY QUERY
    How to build a collaborative workspace for human and AI agent teams?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Teams
    2. Azure OpenAI Service
    3. Microsoft Copilot
    4. Slack
    5. Zapier
    6. Make
    7. Jira
    8. Confluence
    9. Atlassian Intelligence
    10. ClickUp
    11. Notion
    12. React
    13. Angular
    14. Vue.js
    15. Python
    16. Flask
    17. Django
    18. Node.js
    19. Express
    20. OpenAI
    21. Google Cloud AI
    22. AWS AI services

    AI recommended 22 alternatives but never named HKUDS/AgentSpace. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for integrating and managing multiple AI agents as teammates in a shared workspace?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. Open Interpreter
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named HKUDS/AgentSpace. 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 HKUDS/AgentSpace?
    pass
    AI named HKUDS/AgentSpace explicitly

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

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