RRepoGEO

REPOGEO REPORT · LITE

chauncygu/collection-claude-code-source-code

Default branch main · commit b934603b · scanned 5/23/2026, 2:31:56 AM

GitHub: 2,491 stars · 2,318 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
22 /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
1 / 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 chauncygu/collection-claude-code-source-code, 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 H1 to clearly state the repo's purpose

    Why:

    CURRENT
    # A collection of the newest Claude Code open source
    COPY-PASTE FIX
    # Nano Claude Code: Python Reimplementations & Analysis of Claude's AI Agent Architecture (Multi-Agent, Memory, Skills)
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    claude-code, ai-agents, multi-agent-systems, python-reimplementation, ai-architecture, memory-systems, skill-systems, ai-research
  • mediumabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    🔥 A collection of the newest Claude Code open source
    COPY-PASTE FIX
    Python reimplementations and architecture analysis of Claude Code's advanced AI agent systems, featuring multi-agent, memory, and skill packages.

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 chauncygu/collection-claude-code-source-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
karpathy/micrograd
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. karpathy/micrograd · recommended 1×
  2. karpathy/minGPT · recommended 1×
  3. karpathy/nanoGPT · recommended 1×
  4. karpathy/makemore · recommended 1×
  5. pytorch/pytorch · recommended 1×
  • CATEGORY QUERY
    Seeking minimal Python reimplementations to understand advanced AI agent architecture and components.
    you: not recommended
    AI recommended (in order):
    1. Micrograd (karpathy/micrograd)
    2. minGPT (karpathy/minGPT)
    3. nanoGPT (karpathy/nanoGPT)
    4. Karpathy's "makemore" series (karpathy/makemore)
    5. PyTorch (pytorch/pytorch)
    6. "Let's build a GPT" (karpathy/build-nanogpt)

    AI recommended 6 alternatives but never named chauncygu/collection-claude-code-source-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build multi-agent AI systems with memory, skills, and execution capabilities in Python?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Haystack
    6. Open Interpreter

    AI recommended 6 alternatives but never named chauncygu/collection-claude-code-source-code. 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 chauncygu/collection-claude-code-source-code?
    pass
    AI did not name chauncygu/collection-claude-code-source-code — 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 chauncygu/collection-claude-code-source-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chauncygu/collection-claude-code-source-code 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 chauncygu/collection-claude-code-source-code solve, and who is the primary audience?
    pass
    AI did not name chauncygu/collection-claude-code-source-code — 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?

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