EDDI: EDDI is a production-grade, config-driven multi-agent orchestration middleware built with Java 25 and Quarkus. It coordinates users, AI agents, and business systems through intelligent routing, persistent memory, and API orchestration without writing code. It offers enterprise security, compliance, and observability, supporting multiple LLM providers and standard protocols with one-command Docker deployment.; ncp: NCP (Natural Context Provider) is an MCP aggregator that consolidates 50+ disparate MCP servers into a single unified interface for AI agents. Instead of loading every tool definition upfront and burning tokens, agents use three simple tools — find, code, and run — to discover and invoke any capability on demand. Code mode lets the agent write TypeScript workflows combining multiple tools in one step. NCP reports 97% fewer tokens consumed and 5x faster tool selection compared to loading individual MCP servers.
Building enterprise-grade conversational AI assistants with multi-agent collaboration
Reducing token costs when an AI agent needs access to many tools