RRepoGEO

REPOGEO REPORT · LITE

NPC-Worldwide/npcpy

Default branch main · commit f2bc4cc3 · scanned 6/24/2026, 4:07:04 AM

GitHub: 1,409 stars · 103 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
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 NPC-Worldwide/npcpy, 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 first sentence to explicitly clarify the project's purpose and prevent misinterpretation

    Why:

    CURRENT
    `npcpy` is a library that provides key primitives for research and development with multimodal language models, agentic AI, and knowledge graphs.
    COPY-PASTE FIX
    `npcpy` is a comprehensive Python framework for building advanced AI applications, specializing in multimodal language models, agentic AI, and knowledge graphs. It is not a numerical computation library or a client for an external API, but a complete toolkit for AI development.
  • mediumtopics#2
    Refine repository topics to improve category visibility and signal strength

    Why:

    CURRENT
    agents, ai, llm, mcp, mcp-client, mcp-server, ollama, perplexity, python, sql, yaml
    COPY-PASTE FIX
    agents, ai, llm, multimodal-llm, knowledge-graphs, agentic-ai, python, ollama, llama-cpp, llm-framework, rag
  • lowhomepage#3
    Add the official documentation URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    https://npcpy.readthedocs.io/

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 NPC-Worldwide/npcpy
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. CrewAI · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How to build multi-agent AI systems using local language models in Python?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. LangChain
    3. AutoGen
    4. LlamaIndex
    5. Haystack
    6. SPADE
    7. ollama
    8. llama-cpp-python

    AI recommended 8 alternatives but never named NPC-Worldwide/npcpy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for developing multimodal LLM applications with integrated knowledge graphs and context management?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. GraphRAG
    5. Neo4j
    6. RDFLib
    7. NetworkX

    AI recommended 7 alternatives but never named NPC-Worldwide/npcpy. 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 NPC-Worldwide/npcpy?
    pass
    AI named NPC-Worldwide/npcpy explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of NPC-Worldwide/npcpy. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/NPC-Worldwide/npcpy.svg)](https://repogeo.com/en/r/NPC-Worldwide/npcpy)
HTML
<a href="https://repogeo.com/en/r/NPC-Worldwide/npcpy"><img src="https://repogeo.com/badge/NPC-Worldwide/npcpy.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

NPC-Worldwide/npcpy — 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