Local
Implements an advanced AI agent system with intelligent tool orchestration, multi-LLM support, and enterprise-grade reliability for scalable Model Context Protocol architectures.
Local is a robust, production-ready AI agent system designed to overcome challenges in scaling Model Context Protocol (MCP) architectures. It integrates cutting-edge patterns such as semantic tool orchestration, multi-layer caching, and circuit breaker patterns to ensure high performance and reliability. With support for multiple Large Language Models (LLMs) and innovative features like MCP-Zero Active Discovery for significant token reduction and Hierarchical Semantic Routing for optimal tool selection, Local streamlines the creation of efficient, LLM-friendly environments.
