AI Agent Skills

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Implement a reasoning LLM in PyTorch from scratch, step by step

Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

⚙️🦀 Build modular and scalable LLM Applications in Rust

Build and run autonomous AI agents for open-ended tasks

Build agents that are visible, understandable, and trusted

Build AI Agents, Visually

Build your personal knowledge base with Trilium Notes

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM int…

Build resilient agents.

Build Real-Time Knowledge Graphs for AI Agents

Build typed AI agents with Pydantic patterns

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Build Qwen-powered agents with tools, RAG, and MCP