🛠️ Explore hands-on notebooks to master LLMs, RAG, LangChain, CrewAI, and multi-agent systems for effective AI learning and experimentation.
The agentic-ai-learning-series is a 7-part notebook series designed to guide you through the fascinating world of AI and machine learning. You will explore topics like large language models (LLMs), retrieval-augmented generation (RAG), LangChain, CrewAI, and real-time multi-agent systems. This series aims to empower you with practical knowledge, whether you're starting your AI journey or looking to enhance your skills.
To begin using the agentic-ai-learning-series, follow these simple steps. You will need a computer with internet access.
To download the software:
.ipynb or .pdf. If you are unfamiliar with these, the .ipynb files are interactive notebooks, which are ideal for running direct code. The .pdf files contain instructions and information.Universal, model-agnostic operating harness for AI agents (Claude, Codex, Gemini, …) — a lean core + work-type profiles assembled by one setup script.
Game-development Agent Skills for AI coding agents: install once and a master router loads the right skill for your engine and task. 66 original, version-pinned skills (plus a master router) in the portable SKILL.md format that runs across Claude Code, Cursor, Codex, Copilot, Gemini CLI and more, for Godot, Unity, Unreal, web and beyond.
A desktop pet for macOS & Windows that monitors your AI coding agents (Claude Code, Codex, Cursor, Gemini...) in real time, and grows as you code, feed it tokens, level it up, climb the leaderboard.
UltraGameStudio - AI coding agent for game development: engine workflows, gameplay code, and asset generation.
The coding agent that answers to you, your model, your machine, your rules.
Stop babysitting local AI agents. Just notifications, approve, and resume your Codex,Pi,Grok, or Claude code sessions anywhere. 0-Intrusion mobile control bridge via Telegram/微信/飞书. No hooks, no skills, no MCP.
Workflows from the Neura Market marketplace related to this Gemini resource