EDDI
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, a…
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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
EDDI is an open-source, enterprise-grade AI orchestration platform. It enables teams to build, configure, and deploy AI-powered agents using JSON configuration rather than compiled code. Built on an enterprise-grade runtime with millions of lightweight threads for I/O-bound LLM workloads.
EDDI runs anywhere Docker runs, on-premises, any cloud, or in air-gapped environments. Per-user workspaces give every agent and configuration an owner.
Summary drafted from the project's own website. Every sentence is backed by text on that page and was reviewed before publishing.