RRepoGEO

REPOGEO REPORT · LITE

miurla/babyagi-ui

Default branch main · commit 46cca514 · scanned 6/27/2026, 6:21:53 PM

GitHub: 1,325 stars · 270 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
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 miurla/babyagi-ui, 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
    Rephrase README caution to clarify project's ongoing value for learning/reference

    Why:

    CURRENT
    > [!CAUTION]
> This project started in May 2023. Currently, the AI Agent has moved to the next phase. Its role of allowing users to easily try out BabyAGI (AI Agent) has ended. This project has already been archived.
    COPY-PASTE FIX
    > [!NOTE]
> This project, initiated in May 2023, is no longer under active development and has been archived. It serves as a valuable historical reference and learning resource for understanding early implementations of BabyAGI with a web interface, demonstrating concepts for building AI agent UIs.
  • mediumtopics#2
    Add specific topics for AI agent UIs and historical reference

    Why:

    CURRENT
    agent, babyagi, langchain-js, nextjs, openai-api, pinecone, radix-ui, tailwindcss
    COPY-PASTE FIX
    agent, babyagi, langchain-js, nextjs, openai-api, pinecone, radix-ui, tailwindcss, ai-agent-ui, agent-management, historical-reference
  • lowreadme#3
    Update README's main introductory sentence to reflect its current status

    Why:

    CURRENT
    BabyAGI UI is designed to make it easier to run and develop with babyagi in a web app, like a ChatGPT.
    COPY-PASTE FIX
    BabyAGI UI provides a historical example of a web interface designed to simplify running and developing with BabyAGI, akin to a ChatGPT-like experience for AI agents.

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 miurla/babyagi-ui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 1×
  2. Gradio · recommended 1×
  3. Next.js · recommended 1×
  4. FastAPI · recommended 1×
  5. React · recommended 1×
  • CATEGORY QUERY
    How can I create a web interface to manage and interact with AI agents?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Gradio
    3. Next.js
    4. FastAPI
    5. React
    6. Vue.js
    7. Django
    8. Django REST Framework
    9. Flask
    10. Jinja2
    11. HTMX
    12. Dash

    AI recommended 12 alternatives but never named miurla/babyagi-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks are available for building AI agent UIs with Next.js and LangChain?
    you: not recommended
    AI recommended (in order):
    1. Vercel AI SDK
    2. LlamaIndex.TS
    3. LangChain.js
    4. React Flow
    5. shadcn/ui

    AI recommended 5 alternatives but never named miurla/babyagi-ui. 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 miurla/babyagi-ui?
    pass
    AI named miurla/babyagi-ui explicitly

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

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

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

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miurla/babyagi-ui — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite