REPOGEO REPORT · LITE

dot-agent/nextpy

Default branch main · commit e8cc331f · scanned 6/18/2026, 3:11:50 PM

GitHub: 2,338 stars · 182 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

40 /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

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 dot-agent/nextpy, 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

Remove 'just for friends' note and reposition README H1

Why:

CURRENT

> [!NOTE]
><p><em>Hey there, Friend!</em></p>
><p><em>This project is still in the "just for friends" stage. If you want to see what we're messing with and have some thoughts, take a look at the code. We'd love your feedback or contributions.</em></p>

# What is Nextpy?

Nextpy is a framework for building self-modifying software.

COPY-PASTE FIX

# What is Nextpy?

Nextpy is the world's first Self-Modifying Framework (AMS) for building robust AI applications and agents entirely in Python. It provides unparalleled control over LLMs with structured outputs and built-in guardrails, enabling developers to create dynamic, self-improving systems.

mediumabout#2

Clarify the repository description

Why:

CURRENT

🤖Self-Modifying Framework from the Future 🔮 World's First AMS

COPY-PASTE FIX

Nextpy is the world's first Self-Modifying Framework (AMS) for building robust AI applications and agents entirely in Python, offering precise LLM control with structured outputs and guardrails.

lowtopics#3

Add specific AI framework topics

Why:

CURRENT

agent, agi, ai, ai-agents, autogpt, fastapi, fastapi-framework, fastapi-template, fullstack-development, gpt, llm, llmops, mlops, openai, pydantic, python, sqlmodel, streamlit, webdev, webdevelopment

COPY-PASTE FIX

agent, agi, ai, ai-agents, ai-framework, autogpt, fastapi, fastapi-framework, fastapi-template, fullstack-development, gpt, llm, llm-framework, llmops, mlops, openai, pydantic, python, sqlmodel, streamlit, webdev, webdevelopment

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 dot-agent/nextpy

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
Microsoft Guidance · recommended 1×
LlamaIndex · recommended 1×
Haystack · recommended 1×
AutoGPT · recommended 1×

CATEGORY QUERY
What framework helps build self-modifying AI agents with robust control and guardrails?
you: not recommended
AI recommended (in order):
1. LangChain
2. Microsoft Guidance
3. LlamaIndex
4. Haystack
5. AutoGPT
6. OpenAI Function Calling
AI recommended 6 alternatives but never named dot-agent/nextpy. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I achieve precise structured outputs from LLMs using a Python framework?
you: not recommended
AI recommended (in order):
1. Pydantic with Instructor
2. LangChain with PydanticOutputParser
3. Guidance
4. LiteLLM with `response_model`
5. Outlines
6. OpenAI API's `response_format`
AI recommended 6 alternatives but never named dot-agent/nextpy. 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 dot-agent/nextpy?
pass
AI named dot-agent/nextpy explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts dot-agent/nextpy in production, what risks or prerequisites should they evaluate first?
pass
AI named dot-agent/nextpy 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 dot-agent/nextpy solve, and who is the primary audience?
pass
AI named dot-agent/nextpy explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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