Featured tutorial
Build a multi-agent system from scratch in Python
Learn how to design, implement, and run an orchestration system with planning, tool use, memory, and agent coordination.
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AI Agents
Curated tutorials on building autonomous AI agents and multi-agent systems — frameworks, the A2A protocol, kernels, and production reliability.
Ruslan Magana Vsevolodovna
Machine Learning Engineer · Data Scientist · Physicist
Genoa, Italy
Latest tutorials
AutoGen tutorial: Build and orchestrate agents
Use Microsoft AutoGen to create conversational agents and multi-agent workflows.
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watsonx Orchestrate: build a multi-agent system
Design, build, and deploy a multi-agent system with agents, skills, tools, and orchestration.
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Create AI agents with LangChain and OpenAI
Build autonomous agents using LangChain agents, tools, and OpenAI models.
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BeeAI Framework: build Python AI agents step by step
Agents, tools, workflows, structured outputs, and multi-agent applications in Python.
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Tools for AI agents: APIs, code, and search
Enable agents to call APIs, run code, and use external tools effectively with MCP and A2A.
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Add memory to AI agents with vector databases
Equip agents with long-term memory using embeddings and vector stores.
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Agent planning and reasoning with ReAct
Implement ReAct-style agents that reason, act, and observe iteratively.
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Deploy AI agents to production with Docker
Containerize and deploy agents reliably with Docker and production best practices.
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Deploying GenAI without hallucinations: guardrails & evaluation
Ground, evaluate, and add guardrails so agentic systems behave reliably in production.
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What is an AI agent?
An AI agent is a system that can reason, use tools, remember context, and act toward a goal.
What frameworks are used in these tutorials?
The tutorials may use the BeeAI Framework, LangChain, AutoGen, the A2A protocol, vector databases, Docker, and related tools.
Do I need prior experience to follow these guides?
Basic Python and familiarity with APIs are helpful. Some tutorials are beginner-friendly, while others focus on production patterns.