<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository provides the source code and examples for the "Hands-on AI Agents" book, offering a practical, code-first guide to building autonomous and semi-autonomous AI agents. It targets engineers and researchers seeking to leverage cutting-edge frameworks for agent development, enabling the creation of sophisticated, stateful, and multi-agent systems.

How It Works

The project employs a modular approach, integrating key technologies like LangGraph for enterprise-grade stateful agent graphs, CrewAI for role-based multi-agent orchestration, and PydanticAI for type-safe, structured agentic pipelines. It also incorporates MCP (Model Context Protocol) for universal tool and data connectivity, facilitating robust and adaptable agent architectures.

Quick Start & Requirements

• Prerequisites: Python 3.10+, OpenAI/Anthropic/Google Gemini API Keys, and a foundational understanding of LLM prompting and Python.
• Setup: Primarily involves setting up a Python environment and configuring API keys.
• Documentation: A full Table of Contents is available in TOC.md.

Highlighted Details

• Explores baseline ReAct loops, advanced prompt architecture, structured tools/skills, and multi-agent handoff routers.
• Features stateful agent graphs with persistence, human-in-the-loop mechanisms, and adversarial debate protocols.
• Covers model portability through LiteLLM fallback routing, local Ollama agents, and DSPy compiled pipelines.
• Includes MCP for Agent-to-Agent (A2A) discovery and UI protocols.

Maintenance & Community

No specific details on maintenance, community channels, or notable contributors were found in the provided README.

Licensing & Compatibility

The license type and compatibility for commercial use are not specified in the provided README.

Limitations & Caveats

The repository serves as a companion to a book, primarily for educational purposes. It requires external API keys, which may incur costs, and its long-term maintenance beyond the book's scope is not detailed.