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Unwind AI Tutorials

Step-by-step guides and open-source code for building practical AI agents and apps.

From the Xiry library · Updated 10 October 2026

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Unwind AI Tutorials is a curated collection of hands-on walkthroughs for building modern AI applications. Each tutorial covers real-world implementations, such as agentic RAG pipelines, multi-agent systems, and model context protocol (MCP) integrations, paired with open-source repositories. It serves as a practical blueprint library for engineers and hobbyists looking to build with open and commercial LLMs.

What it's for

  • Build agentic RAG applications with local and cloud models
  • Develop multi-agent workflows using protocols like MCP and OpenAI Swarm
  • Find copy-ready Python code templates for AI prototypes and domain-specific agents

Features

  • Step-by-step written tutorials paired with complete code repositories
  • Guides for major LLM providers including Gemini, Claude, and OpenAI
  • Local AI app tutorials using open-source models like Llama and Qwen
  • Integration examples for Model Context Protocol (MCP) and agent orchestration frameworks
  • Links to the Awesome LLM Apps companion GitHub repository

Pricing

Free to read and access open-source code via newsletter subscription

Details

Type
Article or course
Category
Learning
Topic
AI Engineering
Open source
Yes
Platforms
Web
For
AI developers, software engineers, and technical builders looking for practical code examples.
Alternative to
DeepLearning.AI short courses, LangChain documentation templates, LlamaIndex example gallery
Tags
ai agents, rag, tutorials, llm, python, mcp

Why it was saved

  • @Saboo_Shubham_, 16 December 2024: The step-by-step tutorials this tweet belongs to; access appears free-subscription gated.

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