GAX
Provides a CLI ergonomics framework for AI agents with an MCP bridge adapter and lazy tool discovery.
Offers a CLI ergonomics framework designed for AI agents, featuring an MCP bridge adapter that enables lazy tool discovery and governance controls. Reduces token usage by exposing tools on demand rather than upfront. Built in Python with support for multiple AI agent runtimes.
Source
Repository: https://github.com/0sparsh2/gax
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