ggml-org/Llama-macOS

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Microsoft's introductory course on building generative AI applications walks you through 21 structured lessons created by Microsoft Cloud Advocates. The curriculum alternates between conceptual 'Learn' lessons and hands-on 'Build' lessons, progressing from LLM fundamentals through advanced topics like RAG, AI agents, and fine-tuning. Each lesson includes a written explanation, video introduction, and working code samples in both Python and TypeScript. Basic Python or TypeScript knowledge is expected. The course supports Azure OpenAI, OpenAI API, Microsoft Foundry Models, and Foundry Local for fully offline execution. With over 50 language translations maintained via automated GitHub Actions, it's accessible to a global developer audience. MIT licensed with an active Discord community and developer forum for peer support.

Superpowers is an open-source (MIT) skills library and bootstrap instruction set that turns a coding agent's ad-hoc habits into a fixed pipeline: brainstorm a spec, write a plan, build under TDD, review, then close out the branch. Skills trigger automatically once installed, and the same methodology works across eleven different agent harnesses, each requiring its own install step.

AutoGPT is an open-source platform designed for building, deploying, and running AI agents that can carry out complete workflows. Users can define tasks in plain English or use a visual builder to shape each step. The project offers two primary paths: a managed, hosted AutoGPT Platform that handles infrastructure and model access for a fee, and a self-hosting option that is free but requires users to provide their own infrastructure and model API keys. Agents can run on demand, on schedules, or from triggers, connecting to over 45 platforms and hundreds of AI models. It's presented as a tool to automate various functions, from executive operations and sales research to marketing campaign drafts and incident triage in engineering.