xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.; claude-code-source-all-in-one: This repository extracts the source code of Anthropic's Claude Code CLI for educational study. It includes 18 deep-dive articles analyzing the architecture, covering core agent loop, tool orchestration, context compression, and more. The source can be run locally for learning purposes.
Function calling in LLMs
Studying production-level AI agent architecture and design decisions