Ratel, give agents unlimited tools and skills without context bloat

Ratel is an open-source framework that enables AI agents to access unlimited tools and skills without expanding the context window. It addresses the context bloat problem that occurs when large numbers of tools are loaded into an agent's prompt. The project is hosted on GitHub and targets developers building tool-heavy AI agent systems.