RRepoGEO

REPOGEO REPORT · LITE

bubbuild/bub

Default branch main · commit 42125122 · scanned 5/27/2026, 9:02:04 AM

GitHub: 1,448 stars · 134 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 bubbuild/bub, 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
    Add a clarifying sentence to the README's first paragraph

    Why:

    CURRENT
    Bub is a small Python runtime for building agents in shared environments. It started in group chats, where multiple humans and agents had to work in the same conversation without hidden state, hand-wavy memory, or framework-specific magic.
    COPY-PASTE FIX
    Bub is a small Python runtime for building agents in shared environments. To be clear, Bub is *not* a code build system; it's specifically designed for AI agent orchestration. It started in group chats, where multiple humans and agents had to work in the same conversation without hidden state, hand-wavy memory, or framework-specific magic.
  • mediumabout#2
    Refine the repository description

    Why:

    CURRENT
    Bub it. Build it. A hook-first runtime for agents that live alongside people.
    COPY-PASTE FIX
    Bub: A hook-first Python runtime for AI agents that live alongside people. Not a code build system.
  • lowreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to other AI Agent Frameworks
    
    Bub is intentionally small and hook-first, focusing on shared human-agent environments without hidden state. Unlike larger frameworks that provide extensive toolkits and abstractions, Bub offers a minimal runtime where every turn stage is a pluggable hook, allowing for deep customization and integration into existing systems. It prioritizes explicit context management over implicit memory models, making agent behavior more transparent and debuggable.

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 bubbuild/bub
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 2×
  2. LangChain · recommended 1×
  3. Haystack · recommended 1×
  4. LlamaIndex · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    What are good Python frameworks for building AI agents in shared human-agent chat environments?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Haystack
    3. LlamaIndex
    4. AutoGen
    5. Rasa
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named bubbuild/bub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a flexible, extensible Python runtime to deploy AI agents across multiple platforms.
    you: not recommended
    AI recommended (in order):
    1. Ray (ray-project/ray)
    2. OpenAI Gym (openai/gym)
    3. Farama Foundation Gymnasium (Farama-Foundation/Gymnasium)
    4. Stable Baselines3 (DLR-RM/stable-baselines3)
    5. PyTorch (pytorch/pytorch)
    6. TensorFlow (tensorflow/tensorflow)
    7. LangChain (langchain-ai/langchain)
    8. DeepMind's Acme (deepmind/acme)
    9. RLlib (ray-project/ray)
    10. TensorFlow Extended (TFX) (tensorflow/tfx)
    11. PyTorch Lightning (Lightning-AI/lightning)

    AI recommended 11 alternatives but never named bubbuild/bub. 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 bubbuild/bub?
    pass
    AI named bubbuild/bub explicitly

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

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