Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.

0 - 1 learn OpenClaw: sections to build an claw-AI agent from scratch

Implementing the 4 agentic patterns from scratch

Build an email assistant with human-in-the-loop and memory

Build your own Claude Code from scratch. 🔍 Claude Code 开源了 50 万行代码，读不动？用 ~4000 行 TypeScript / Python 从零复现核心架构，11 章分步教程带你理解 coding agent 精髓

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

从零构建 Code Agent：Claude Code 源码深度解析 | Build a Code Agent from Scratch: Deep Dive into Claude Code Source

Building LLM-Enabled Multi Agent Applications from Scratch

[ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

One from scratch browser built by one human and one agent, working hand in hand

A Deep Research agent from scratch

This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

Build an agentic RAG app from scratch by collaborating with Claude Code. 8-module course covering hybrid search, reranking, text-to-SQL, subagents, and more. React + FastAPI + Supabase.

Learn agent fundamentals from scratch in one day (about 9 hours)! I wrote this tutorial to show that agents are actually very simple. 零基础一天 （9小时）学完agent！写这个教程就是想告诉大家，Agent其实非常简单！

Build a Claude Code–like CLI coding agent from scratch.

Claude Code style AI agent from scratch using Python

从零搭建Agent框架(Build LLM ReAct Agent from scratch)

agent-from-scratch is a Python-based repository designed for developers and researchers interested in understanding the inner workings of single and multi-agent systems

Learn how AI coding agents work by building one from scratch.

Visual planning and context control for shipping big apps with AI coding. Build from scratch or map existing repos. Dossier maps user workflows, sets agent context per feature, builds, tests and ships from one interface.

Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A

Multi AI Agents System from Scratch in pure python without any frameworks.

AI Agents from Scratch using Ollama Local LLMs.

SkillForge — AI Agent Skills Generator. A structured 4-step prompt system that forges production-grade Agent Skills from scratch.

A new age AI chat agent , build from scratch to work seamless with the LLM

SurfAgent is an AI agent built from scratch that performs web searches using Selenium and Brave Search, Langchain and supports GROQ or OLLAMA providing reliable sources for the results.

Build your own onchain AI Agent from scratch using OpenAI Assistants and Viem for blockchain capabilities

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.