Учебные материалы по AI-агентам

Learn how CrewAI, LangGraph, and AutoGen approach multi-agent AI. Explore their differences in workflows, memory, scalability, and collaboration to discover which fits your needs best.

Compare LangChain, LangGraph, LangSmith, and LangFlow. Learn their roles, strengths, and when to use each for building production-ready AI applications.

Learn how to build reliable AI agents with Pydantic AI in Python. Validate outputs, use tools, and stream insights with practical code examples.

Learn how to build a Deep Research Assistant using Jan-v1's agentic reasoning capabilities, including local deployment, Streamlit app development, and more.

Learn about Kiro, an AI IDE, and its features, installation, and how it compares to other AI coding tools like Cursor.

Learn what deep agents are, their core components, and how to build a job application assistant using LangChain's deepagents package.

Learn what Trae AI is, its features, pricing, installation process, practical applications, and how it compares to Cursor AI.

Learn how to set up and use Qwen Code CLI for agentic coding tasks, including codebase exploration, refactoring, and more.

Learn what ChatGPT Agent is, how to use it, how it handles real-world tasks, and where it still falls short.

Learn what Make is, how to use it to create AI agents that automate tasks, and how it compares to n8n.

Master LangGraph fundamentals — state, nodes, edges, memory — and build scalable AI agents with ReAct patterns, custom tools, and persistent state management.

Learn how to install and use the Google Gemini CLI to streamline your coding workflow and fix bugs faster with AI.