RRepoGEO

REPOGEO REPORT · LITE

TinyAGI/tinyagi

Default branch main · commit 2db3a03a · scanned 5/24/2026, 4:11:47 AM

GitHub: 3,569 stars · 507 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 TinyAGI/tinyagi, 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
    Reposition README introduction to clearly state purpose for solo businesses

    Why:

    CURRENT
    The current README starts with a video and then features, with the tagline 'Multi-agent, Multi-team, Multi-channel, 24/7 AI assistant'.
    COPY-PASTE FIX
    Add a clear, concise introductory sentence immediately after the H1/tagline: 'TinyAGI is the multi-agent orchestration platform designed to empower solo entrepreneurs and small businesses with 24/7 AI assistant teams across multiple channels.'
  • mediumreadme#2
    Clarify production readiness statement in README

    Why:

    CURRENT
    The README states: 'TinyAGI is an experimental project and is not intended for production use wit…'
    COPY-PASTE FIX
    Rephrase or qualify the 'experimental' statement in the README to clarify its current status and future intent for solo businesses. For example: 'TinyAGI is currently in active development, designed with the future needs of solo entrepreneurs in mind. While features are evolving, it provides a robust foundation for building and managing your AI agent teams.'

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 TinyAGI/tinyagi
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. AutoGPT · recommended 1×
  3. CrewAI · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How can I orchestrate multiple AI agents to collaborate on tasks for my solo business?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. CrewAI
    4. Microsoft Semantic Kernel
    5. Haystack
    6. LlamaIndex
    7. Open Interpreter

    AI recommended 7 alternatives but never named TinyAGI/tinyagi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage AI agent teams across different communication channels with a web UI?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LangServe (langchain-ai/langserve)
    3. React (facebook/react)
    4. Vue (vuejs/core)
    5. Angular (angular/angular)
    6. Slack APIs
    7. Discord APIs
    8. CrewAI (joaomdmoura/crewAI)
    9. Streamlit (streamlit/streamlit)
    10. Gradio (gradio-app/gradio)
    11. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    12. Botpress (botpress/botpress)
    13. WhatsApp
    14. Rasa X (RasaHQ/rasa-x)
    15. Rasa Open Source (RasaHQ/rasa)
    16. FastAPI (tiangolo/fastapi)
    17. Django (django/django)
    18. Node.js (nodejs/node)
    19. OpenAI's API
    20. Anthropic's API

    AI recommended 20 alternatives but never named TinyAGI/tinyagi. 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 TinyAGI/tinyagi?
    pass
    AI named TinyAGI/tinyagi explicitly

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

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

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

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TinyAGI/tinyagi — 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