RRepoGEO

REPOGEO REPORT · LITE

vstorm-co/pydantic-deepagents

Default branch main · commit 72de1572 · scanned 5/30/2026, 10:01:18 PM

GitHub: 827 stars · 91 forks

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 vstorm-co/pydantic-deepagents, 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 the README's opening statement to clarify its core purpose

    Why:

    CURRENT
    The batteries-included deep agent harness for Python.
    COPY-PASTE FIX
    The batteries-included deep agent harness for Python, designed for building Claude Code-style LLM agents with tool-calling, sandboxed execution, multi-agent teams, and deep research capabilities.
  • hightopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    agent-framework, ai-agents, anthropic, claude-code, cli, coding-agent, deep-research, docker-sandbox, llms, mcp, playwright, pydantic, pydantic-ai, python, subagents, tui, vstorm
    COPY-PASTE FIX
    agent-framework, ai-agents, anthropic, claude-code, cli, coding-agent, deep-research, docker-sandbox, llm-agents, llms, multi-agent-systems, playwright, pydantic, pydantic-ai, python, sandboxed-execution, subagents, tui, vstorm
  • mediumabout#3
    Refine the repository description for clearer positioning

    Why:

    CURRENT
    Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI.
    COPY-PASTE FIX
    A Python framework for building Claude Code–style deep LLM agents with tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context, powered by Pydantic AI.

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 vstorm-co/pydantic-deepagents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 4 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 4×
  2. gVisor · recommended 4×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Open Interpreter · recommended 1×
  • CATEGORY QUERY
    How to build a Python-based AI agent with tool-calling and sandboxed execution?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Docker
    3. gVisor
    4. LlamaIndex
    5. Docker
    6. gVisor
    7. Open Interpreter
    8. CrewAI
    9. Docker
    10. gVisor
    11. Firejail
    12. Haystack
    13. Docker
    14. gVisor

    AI recommended 14 alternatives but never named vstorm-co/pydantic-deepagents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Framework for developing multi-agent systems in Python with deep research capabilities and context?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. PetriNetPy
    3. SPADE
    4. RLlib
    5. PettingZoo
    6. Gymnasium
    7. Pymarl

    AI recommended 7 alternatives but never named vstorm-co/pydantic-deepagents. 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 vstorm-co/pydantic-deepagents?
    pass
    AI did not name vstorm-co/pydantic-deepagents — 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 vstorm-co/pydantic-deepagents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vstorm-co/pydantic-deepagents 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 vstorm-co/pydantic-deepagents solve, and who is the primary audience?
    pass
    AI named vstorm-co/pydantic-deepagents explicitly

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

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vstorm-co/pydantic-deepagents — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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