RRepoGEO

REPOGEO REPORT · LITE

agent-infra/sandbox

Default branch main · commit a0f57f71 · scanned 5/21/2026, 7:47:04 AM

GitHub: 4,754 stars · 405 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
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 agent-infra/sandbox, 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
    Reposition README opening to emphasize AI agent specialization

    Why:

    COPY-PASTE FIX
    AIO Sandbox is the definitive all-in-one environment designed specifically for developing, testing, and deploying AI agents, providing a complete suite of tools in a single, isolated container.
  • hightopics#2
    Add explicit AI-related topics

    Why:

    CURRENT
    agent, all-in-one, browser, filesystem, mcp, sandbox, shell
    COPY-PASTE FIX
    ai, ai-agent, agent, all-in-one, browser, filesystem, mcp, sandbox, shell, development-environment
  • mediumreadme#3
    Clarify 'sandbox' meaning and production suitability in README

    Why:

    COPY-PASTE FIX
    Add a section or a clear statement in the README, for example: '**Note on "Sandbox" Naming:** While named "Sandbox" to emphasize its isolated and controlled environment for development and testing, AIO Sandbox is engineered for robust and secure execution of AI agents, making it suitable for production-like staging and deployment scenarios where controlled isolation is paramount.'

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 agent-infra/sandbox
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
JupyterLab
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. JupyterLab · recommended 2×
  2. Gitpod · recommended 2×
  3. GitHub Codespaces · recommended 2×
  4. Docker Compose · recommended 1×
  5. VS Code Dev Containers · recommended 1×
  • CATEGORY QUERY
    How can I set up an all-in-one sandbox environment for developing and testing AI agents?
    you: not recommended
    AI recommended (in order):
    1. Docker Compose
    2. JupyterLab
    3. VS Code Dev Containers
    4. PostgreSQL
    5. MongoDB
    6. RabbitMQ
    7. Kafka
    8. Anaconda
    9. Miniconda
    10. VS Code
    11. TensorFlow
    12. PyTorch
    13. OpenAI Gym
    14. Google Colaboratory
    15. Colab Pro/Enterprise
    16. AWS Cloud9
    17. Amazon SageMaker Studio Lab
    18. Gitpod
    19. GitHub Codespaces

    AI recommended 19 alternatives but never named agent-infra/sandbox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a containerized environment with integrated browser, shell, and VSCode for AI agent development.
    you: not recommended
    AI recommended (in order):
    1. GitHub Codespaces
    2. Gitpod
    3. VS Code Remote - Containers
    4. JupyterLab
    5. jupyter-server-proxy
    6. Google Colab
    7. AWS SageMaker Studio Lab
    8. Kaggle Notebooks
    9. Codiad
    10. Apache Cloud9

    AI recommended 10 alternatives but never named agent-infra/sandbox. 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 agent-infra/sandbox?
    pass
    AI did not name agent-infra/sandbox — 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 agent-infra/sandbox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agent-infra/sandbox 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 agent-infra/sandbox solve, and who is the primary audience?
    pass
    AI named agent-infra/sandbox explicitly

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

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agent-infra/sandbox — 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