In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

A model-driven approach to building AI agents in just a few lines of code.

ARIS ⚔️ (Auto-Research-In-Sleep) — Claude Code skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation via Codex MCP

Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Learn AI and LLMs from scratch using free resources

Install, run and deploy your own decentralized AI agent service