RRepoGEO

REPOGEO REPORT · LITE

pguso/ai-agents-from-scratch

Default branch main · commit 8b925172 · scanned 5/20/2026, 2:57:32 PM

GitHub: 3,520 stars · 530 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 pguso/ai-agents-from-scratch, 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 H1/intro to clarify 'from scratch' and 'no frameworks'

    Why:

    CURRENT
    Learn to build AI agents locally without frameworks. Understand what happens under the hood before using production frameworks.
    COPY-PASTE FIX
    Learn to build AI agents from scratch, *without* relying on high-level frameworks like LangChain or LlamaIndex. This repository focuses on demystifying agent mechanics, function calling, memory, and ReAct patterns using local LLMs and `node-llama-cpp` for deep understanding, preparing you to use frameworks wisely.
  • mediumhomepage#2
    Add companion website URL to repository homepage field

    Why:

    COPY-PASTE FIX
    https://agentsfromscratch.com
  • mediumtopics#3
    Expand topics to include 'from-scratch' and 'no-framework' keywords

    Why:

    CURRENT
    ai-agents, educational, function-calling, llm, llm-agent, node-llama-cpp, react-agent, tutorial
    COPY-PASTE FIX
    ai-agents, educational, function-calling, llm, llm-agent, node-llama-cpp, react-agent, tutorial, from-scratch, no-frameworks, agent-architecture, local-llm

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 pguso/ai-agents-from-scratch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Hugging Face Transformers · recommended 1×
  4. Accelerate · recommended 1×
  5. Ollama · recommended 1×
  • CATEGORY QUERY
    How to build custom AI agents from fundamental principles using local models?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Hugging Face Transformers
    4. Accelerate
    5. Ollama
    6. LiteLLM
    7. Guidance

    AI recommended 7 alternatives but never named pguso/ai-agents-from-scratch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tutorial to understand LLM agent function calling and memory mechanisms deeply.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. DeepLearning.AI
    5. Generative AI with Large Language Models
    6. Hugging Face `transformers`

    AI recommended 6 alternatives but never named pguso/ai-agents-from-scratch. 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 pguso/ai-agents-from-scratch?
    pass
    AI did not name pguso/ai-agents-from-scratch — 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 pguso/ai-agents-from-scratch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pguso/ai-agents-from-scratch 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 pguso/ai-agents-from-scratch solve, and who is the primary audience?
    pass
    AI did not name pguso/ai-agents-from-scratch — 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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pguso/ai-agents-from-scratch — 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