ai-agents-from-scratch: This repository teaches you to build AI agents from first principles using local LLMs and node-llama-cpp, emphasizing a deep understanding of agent fundamentals before using production frameworks. It guides learners through building agent components like tools, memory, and reasoning patterns, culminating in rebuilding core LangChain and LangGraph concepts.; antigravity-workspace-template: This project provides a production-grade workspace template for building autonomous AI agents on Google Antigravity, aiming to simplify enterprise-grade architecture to 'Clone → Rename → Prompt'. It pre-embeds a complete cognitive architecture, enabling the IDE to act as an industry-savvy architect with features like infinite memory, auto-discovery of tools, and multi-agent orchestration.
Educational resource for AI agent development fundamentals.
Rapid prototyping and development of autonomous AI agents.