mcp-orchestrator

This project leverages core logic from a modular preprocessor context compression system designed for agent knowledge graph tasks. It aims to build a protocol for compressing and validating useful knowledge during interactions between users and AI models. The decentralized peer discovery, validation, and incentive protocol encourages knowledge sharing and contributions, promoting a collective knowledge base for public good.