Overview
AI Agents with Python 2026 is a practical series on building AI agents in Python. Each part pairs an article with working code, so you can follow the idea and then run it yourself. The code lives in a public repository, and a live dashboard accompanies the series.
Who it is for
Python developers, students, IT professionals and anyone who wants to move beyond simple chatbots and understand how AI agents are actually built.
What the series covers
- What AI agents are, and how they differ from traditional software and chatbots
- How agents work: models, tools, memory, knowledge, reasoning, planning and the agent loop
- Building the foundation of a simple agent in Python
- Giving an agent real-world abilities through tools and APIs
- Retrieval-augmented generation (RAG), so agents can answer from documents
- Multi-agent systems, where specialised agents work together
- Automating real workflows with agents
- Security and guardrails for safer agents
How it is written
The series starts from the ideas and moves step by step to working code. It also looks at practical uses, including examples drawn from IT support and broadcasting.
Current status
The series is ongoing, with new parts published as they are ready. The code for each part is in the public repository.
Follow along
Read the articles on Medium, then open the repository to run the code, or check the live dashboard.