Code & Development · GitHub ·639 ★

agents-from-scratch

Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.

Details

Author
pguso
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
639
First indexed
2026-05-15
Last active
2026-01-14
Directory sync
2026-05-15

Overview

Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.

Quick start

git

git clone https://github.com/pguso/agents-from-scratch

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agents-from-scratch can do

  • Framework — framework task automation.
  • Prompt — prompt task automation.
  • Education — Tutors learners through structured explanations.
  • Api — api task automation.
  • Llm — llm task automation.

Frequently asked questions

What is agents-from-scratch?
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
How do I install agents-from-scratch?
Use git: `git clone https://github.com/pguso/agents-from-scratch`. Full setup details on the source page linked above.
Is agents-from-scratch open source?
agents-from-scratch is published on GitHub.
What are alternatives to agents-from-scratch?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for agents-from-scratch is sourced from GitHub, published by pguso.

Last scraped: · First indexed:

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