RRepoGEO

REPOGEO REPORT · LITE

sanbuphy/nanoAgent

Default branch main · commit 7c1dd1da · scanned 6/12/2026, 1:22:48 PM

GitHub: 643 stars · 215 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 sanbuphy/nanoAgent, 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 educational and minimal purpose

    Why:

    CURRENT
    The simplest way to build an agent that can interact with your system. A minimal implementation of an AI agent using OpenAI's function calling.
    COPY-PASTE FIX
    If you can read ~100 lines of Python, you understand agents. nanoAgent is the simplest, most minimal implementation of an AI agent using OpenAI's function calling, designed for learning and understanding core agent concepts and for rapid prototyping lightweight agents.
  • mediumtopics#2
    Add specific topics to highlight minimalism and learning

    Why:

    CURRENT
    agent, agentic, llm, toolcalling
    COPY-PASTE FIX
    agent, agentic, llm, toolcalling, minimal-agent, learning-llm-agents, function-calling-example, python-agent-tutorial
  • mediumcomparison#3
    Add a comparison section to differentiate from larger frameworks

    Why:

    COPY-PASTE FIX
    ## Comparison to Frameworks like LangChain/LlamaIndex
`nanoAgent` is designed for simplicity and understanding core agent concepts with minimal code, unlike comprehensive frameworks such as LangChain or LlamaIndex which offer extensive features, integrations, and abstractions for complex production systems. `nanoAgent` focuses on the essential building blocks, making it ideal for learning, rapid prototyping, or integrating a lightweight agent into existing projects without framework overhead.

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 sanbuphy/nanoAgent
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. OpenAI Python Library · recommended 1×
  4. LiteLLM · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    Looking for a minimal LLM agent implementation to understand function calling concepts.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Python Library
    4. LiteLLM
    5. Haystack

    AI recommended 5 alternatives but never named sanbuphy/nanoAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an AI agent capable of executing shell commands and managing local files?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Open Interpreter

    AI recommended 5 alternatives but never named sanbuphy/nanoAgent. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 sanbuphy/nanoAgent?
    pass
    AI named sanbuphy/nanoAgent explicitly

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

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

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

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MARKDOWN (README)
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sanbuphy/nanoAgent — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite