50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

🤖 Official Interactive Tutorial for OpenHarness – Zero to Hero in 12 Chapters | Learn OpenHarness like Claude Code: Agent Loop, Tools, Memory, Multi-Agent | 面向零基础的 AI Agent 交互式教程

A curated collection of OpenClaw tutorials, skills, and use cases. Learn how to build your personal AI assistant with 5400+ skills, multi-agent routing, and chat app integration (WhatsApp/Telegram/Discord/iMessage).

Learn to build powerful AI agents from scratch. This repository contains tutorials, examples, and production-ready code for implementing intelligent automation with LLMs and multi-agent systems.

Unlock the power of LangGraph v0.5.3 with 20 bite‑sized, beginner‑friendly agent projects—from chatbots and finance bots to multi-agent orchestrations. Developed by HERE AND NOW AI, this hands‑on tutorial delivers up‑to‑date Python code, practical business value, and scalable workflows built for today and beyond.

Enterprise-grade multi-agent AI customer support system. Built for production, saves companies £150K+ annually. Complete tutorials included.

A comprehensive guide and codebase for building AI agents with LLMs, featuring practical implementations from basic LLM interactions to complex multi-agent systems. Includes coding assistants, research agents, and step-by-step tutorials.

A complete Python tutorial series by HereAndNow AI for mastering Google Agent Development Kit (ADK) v0.1.0, featuring 30+ hands-on projects — from beginner chatbots and tool agents to expert multi-agent workflows, embedding pipelines, RAG, and cloud deployment.

🤖 Transform research papers into interactive AI agents with minimal effort using Paper2Agent's multi-agent system for seamless tutorial execution.

Best of the Best | AI Ecosystem Dashboard An autonomous multi-agent system that curates and visualizes the top-trending AI courses, research papers, and tutorials. The Best of the Best project is a Jekyll-based static site that serves as a real-time dashboard for the AI ecosystem. It automatically aggregates data to surface the #1 ranked assets

Multi-agent AI system using CrewAI and Ollama to automatically research, write, and review beginner-friendly Python tutorials

Hands-on tutorials for building AI agents with the Strands Framework - from simple chatbots to multi-agent systems.

Hands‑on AI Agent Security Evaluation — Explore and simulate 15 advanced LLM attack techniques (prompt injection, RAG poisoning, multi‑agent compromise, etc.) with interactive Jupyter tutorials. Includes adversarial testing methods, vulnerability analysis, and defense strategies for building secure AI systems.

Curated collection of tools, frameworks, research papers, and tutorials for building AI agents, multi-agent systems, LLM-based orchestration, memory, planning, tool use, and evaluation. Each entry includes a link to the original source for quick access.

This project demonstrates a multi-agent workflow system for automated blog post generation using Python and OpenAI's GPT models. Based on the tutorial by [Jie Jenn](https://www.youtube.com/@jiejenn) and powered by [Agno.ai](https://agno.ai).

ADVANCED Python AI Multi-Agent Tutorial (RAG, Streamlit, Langflow & More!) - From TechWithTim YT

A curated collection of LLM applications and tutorials covering RAG (Retrieval-Augmented Generation), AI agents, multi-agent teams, voice agents, MCP (Model Context Protocol), and more.

Hands-on tutorial for building AI agents with Microsoft AutoGen - covering single agents, tools, multi-agent teams, and human-in-the-loop workflows

A comprehensive survey of multi-agent systems applied to scientific research, including papers, datasets, and tutorials on AI-driven scientific discovery.

Comprehensive CrewAI tutorial with 7 modules covering basics to advanced topics. Learn multi-agent AI systems, LLM integration, observability, and production patterns. Perfect for AI agent development.

A comprehensive, hands-on tutorial for building AI agents from scratch. Learn to create intelligent agents with memory, tools, planning capabilities, and multi-agent systems through progressive, practical examples.

Explore the Agentic AI repository, a comprehensive resource for learning and building intelligent agent systems. Featuring tutorials, code examples, and hands-on projects, this repo empowers you to master autonomous decision-making and multi-agent frameworks.

Content Monitoring & Executive Summarization: A multi-agent AI system to summarize youtube videos (podcast, important discussion, tutorial) & reddit discussions, find relevancy based on personalized interested topics, and deliver insights/summary via automated email.

Multi-agent AI is exploding in popularity, but most tutorials focus on the high-level architecture. They show you the patterns but skip the implementation details. This repo fills that gap by teaching you the concurrency fundamentals that make these systems work in production.

Some tutorials for multi-ai-agent frameworks like CrewAI, AutoGen, and LangGraph

Multi-agent AI tutorials

Complete tutorial for building multi-agent AI systems

AI Agents: From Fundamentals to Multi-Agent Systems 🤖 A comprehensive collection of AI Agents projects, tutorials, and implementations.

Tutorial AI Agents, Function Calling, RAG, Multi-Agent dengan Python & OpenAI

https://langchain-ai.github.io/langgraph/tutorials/multi_agent/hierarchical_agent_teams/#add-layers