E.D.D.I
✨Production-grade, config-driven multi-agent orchestration middleware for conversational AI, featuring group debates, intelligent routing, MCP/A2A protocol interoperability, and enterprise security compliance.
Production-grade, config-driven multi-agent orchestration middleware for conversational AI, featuring group debates, intelligent routing, MCP/A2A protocol interoperability, and enterprise security compliance.
A framework for building streaming AI agents on the JVM with a built-in transport layer, token-level governance gateway, multi-protocol distribution, multi-channel messaging, and multi-agent orchestration.
A local-first autonomous AI operating system featuring desktop control, multi-model routing, and 1,400+ composable skills.
A secure, extensible Rust runtime framework for vertical AI agents, featuring 42+ LLM providers, 25+ delivery channels, and an L0–L9 layered security governance model.
An OS-level autonomous AI agent system featuring a pyramid-style 5-tier long-term memory, dual-backend brain architecture, multi-agent coordination, and scheduled autonomy, with multi-platform support (Telegram/Discord/Web) and full local private deployment.
A local-first personal AI agent framework from Stanford that enables offline agent orchestration, skill import, and trace-driven continuous learning through five composable primitives, supporting 10+ inference backends and four interaction modes.
The first complete connectivity solution for Agentic AI — a unified gateway for LLM access, MCP tool federation, and A2A agent-to-agent communication.
A full-stack debugging and evaluation platform for MCP server developers, integrating app building, multi-model comparison chat, OAuth compliance validation, and CI/CD automated testing capabilities.
An open-source Agent Operating System providing autonomous agents with runtime orchestration, 16-layer defense-in-depth security, and omnichannel access through pre-built autonomous capability packages (Hands).
An open-source collaborative multi-agent runtime platform featuring Manager-Workers architecture and Matrix protocol for transparent, secure, human-in-the-loop multi-agent task orchestration.
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