Learn AI Agents Handbook - Interactive Handbook for Building AI Agents

What are AI Agents?

AI Agents are software systems capable of autonomously perceiving their environment, making decisions, and taking actions to achieve specified goals without constant human intervention.

Modern AI agents are powered by advanced language models (LLMs), have access to tools and external APIs, and utilize memory to store interaction context.

Learn the basics Explore interactive roadmap

What Our Handbook Offers

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Free LLM API Keys

Get free access to powerful language models. Practice with real LLM APIs without spending a dime.

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Practical Examples

Learn how to create AI agents with real-world examples. Step-by-step from simple chatbots to complex autonomous systems.

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Foundational Knowledge

Deep understanding of AI agent fundamentals. From NLP basics to complex multi-agent interaction architectures.

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Developer Community

Join a community of enthusiasts and professionals studying and developing AI agent technologies.

Learning Modules

Basics

Get started with AI agents fundamentals. Learn core concepts, architecture, and build your first AI agent.

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Handbook Mission

Our goal is to provide developers and researchers with a complete guide to creating and using AI agents, combining deep theoretical understanding with practical tools and solutions. We strive to make AI agent technologies accessible to everyone who wants to master and implement them.

Our Standards

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Practical Approach

All handbook materials are designed with practical application in mind. Theory is supported by working code and real-world examples.

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Relevance

We constantly update our materials, keeping track of technology developments and new methods in AI agent development.

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Accessibility

The handbook is accessible to everyone, regardless of level. We strive to explain complex concepts in simple and understandable language.

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Community

We're creating not just a textbook, but an active community of developers ready to help each other and advance AI agent technologies.

Project Authors

David Merkulov

Main Author. CTO at AI-automated VC fund, MSU, Ex-Yandex

Your Name

Anyone who is interested in collaboration

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