RRepoGEO

REPOGEO REPORT · LITE

google-antigravity/antigravity-sdk-python

Default branch main · commit ae14af2d · scanned 6/28/2026, 2:26:50 AM

GitHub: 2,080 stars · 723 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /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
2 / 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 google-antigravity/antigravity-sdk-python, 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
    Clarify 'Antigravity' as a Google product in the README's opening

    Why:

    CURRENT
    # Google Antigravity SDK

The Google Antigravity SDK is a Python SDK for building AI agents powered by Antigravity and Gemini.
    COPY-PASTE FIX
    # Google Antigravity SDK

The Google Antigravity SDK is a Python SDK for building AI agents powered by **Google's Antigravity platform** and Gemini. It provides a secure, scalable, and stateful infrastructure layer that abstracts the agentic loop, letting you focus on what your agent *does* rather than how it runs.
  • mediumtopics#2
    Add more specific AI agent framework topics

    Why:

    CURRENT
    ai-agents, antigravity, gemini, gemini-api, google, llm-agents, mcp, python-sdk, skills
    COPY-PASTE FIX
    ai-agents, antigravity, gemini, gemini-api, google, llm-agents, mcp, python-sdk, skills, agent-framework, ai-platform, generative-ai
  • lowreadme#3
    Add a 'Why Antigravity SDK?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps after 'Quickstart', titled 'Why Google Antigravity SDK?'. Content could be: 'The Google Antigravity SDK stands out by providing a secure, scalable, and stateful infrastructure layer that fully abstracts the agentic loop. This allows developers to focus purely on agent logic and capabilities, rather than managing complex runtime environments or state persistence, making it ideal for production-grade AI agent deployments.'

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 google-antigravity/antigravity-sdk-python
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. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. Transformers · recommended 1×
  5. Instructor · recommended 1×
  • CATEGORY QUERY
    What are the best Python libraries for developing intelligent agents using large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Transformers
    5. Instructor
    6. Guidance
    7. AutoGen

    AI recommended 7 alternatives but never named google-antigravity/antigravity-sdk-python. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust framework to build and deploy scalable, stateful AI agents.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. LlamaIndex
    4. Haystack
    5. AutoGPT
    6. Rasa
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named google-antigravity/antigravity-sdk-python. 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 google-antigravity/antigravity-sdk-python?
    pass
    AI did not name google-antigravity/antigravity-sdk-python — likely talking about a different project

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

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

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

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