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local-ai

Agentic AI & Harnesses

Tool use, agent frameworks, and orchestration with local models.

  1. Advanced

    What is an AI agent?

    An agent is a model given tools and a loop: it reasons, acts, observes the result, and repeats until the job is done. What that means, and where it breaks.

  2. Advanced

    Tool use and MCP

    How a model actually calls a tool, why the Model Context Protocol has become the common way to connect them, and how to keep tool access safe.

  3. Advanced

    Agent frameworks and local models

    The frameworks for building agents, how to choose between them, and how to run them against a local model, with a realistic view of what that combination can do.

  4. Intermediate

    Self-hosted AI agents: what to run and on what

    Which agent platforms you can run on your own hardware, what each is for, and the catch that matters most: self-hosting the platform is not the same as running the model locally. Plus an honest look at how far local models get with agents, and the security of letting one act on your machine.