E.D.D.I — Multi-Agent Orchestration Middleware for Conversational AI

E.D.D.I (Enhanced Dialog Driven Interface) is a production-grade, config-driven multi-agent orchestration middleware for conversational AI. It coordinates users, AI agents, and business systems through intelligent routing, persistent memory, and API orchestration — without writing code.

Built with Java 25 and Quarkus. Ships as a Red Hat-certified Docker image. Native support for MCP (Model Context Protocol), A2A (Agent-to-Agent), Slack, OpenAPI, and OAuth 2.0.

Latest version: 6.1.0 · Website · Documentation · License: Apache 2.0

📑 Table of Contents

• 🏁 Quick Start
• 💡 Why EDDI?
• 📸 See It In Action
• ✨ Features
• 🧩 Quarkus SDK
• 📖 Documentation
• 📋 Compliance & Privacy
• 🏗️ Development
  • Prerequisites
  • Quarkus Dev Mode
  • Maven Command Reference
  • Build & Docker
  • Kubernetes
• 🤝 Contributing
• 🔒 Security
• 📜 Code of Conduct

🏁 Quick Start

The fastest way to get EDDI running is the one-command installer. It sets up EDDI + your choice of database via Docker Compose, deploys the Agent Father starter agent, and walks you through creating your first AI agent.

Linux / macOS / WSL2:

curl -fsSL https://raw.githubusercontent.com/labsai/EDDI/main/install.sh | bash

Windows (PowerShell):

Invoke-WebRequest -UseBasicParsing -Uri "https://raw.githubusercontent.com/labsai/EDDI/main/install.ps1" -OutFile "install.ps1"
Unblock-File .\install.ps1
.\install.ps1

Requires Docker. The wizard auto-generates a unique vault encryption key for secret management.

bash install.sh --defaults                 # All defaults, no prompts
bash install.sh --db=postgres --with-auth  # PostgreSQL + Keycloak
bash install.sh --full                     # Everything enabled (DB + auth + monitoring)
bash install.sh --local                    # Build Docker image from local source

The --local flag is for contributors testing pre-release builds:

./mvnw package -DskipTests    # Build the Java app
bash install.sh --local        # Build Docker image + start containers

🔄 Updating

The installer creates an eddi CLI wrapper that makes updating easy:

eddi update

This pulls the latest Docker image from the registry and restarts the containers. It works even when the same tag (e.g. latest) was re-published — Docker always checks the remote digest for changes.

eddi command not found? The CLI lives at ~/.eddi/eddi (Linux/macOS) or ~/.eddi/eddi.cmd (Windows). Either restart your terminal so the PATH takes effect, or use the full path:

# Linux / macOS
~/.eddi/eddi update

# Windows (PowerShell)
& "$HOME\.eddi\eddi.cmd" update

If the eddi CLI isn't available, run the equivalent docker commands from your install directory (~/.eddi by default):

cd ~/.eddi
docker compose --env-file .env -f docker-compose.yml pull
docker compose --env-file .env -f docker-compose.yml up -d

Adjust the -f flags to match your setup (e.g. add -f docker-compose.auth.yml if using Keycloak).

🐳 Docker Compose (Manual)

If you prefer manual control over Docker Compose:

# Default (EDDI + MongoDB)
docker compose up

# PostgreSQL instead of MongoDB
EDDI_DATASTORE_TYPE=postgres docker compose -f docker-compose.yml -f docker-compose.postgres.yml up

# With Keycloak authentication
docker compose -f docker-compose.yml -f docker-compose.auth.yml up

# With Prometheus + Grafana monitoring
docker compose -f docker-compose.yml -f docker-compose.monitoring.yml up

# Full stack (all overlays)
docker compose -f docker-compose.yml -f docker-compose.auth.yml \
  -f docker-compose.monitoring.yml -f docker-compose.nats.yml up

Available compose overlays: docker-compose.auth.yml (Keycloak), docker-compose.monitoring.yml (Prometheus+Grafana), docker-compose.nats.yml (NATS JetStream), docker-compose.postgres.yml / docker-compose.postgres-only.yml, docker-compose.local.yml (build from source).

docker pull labsai/eddi    # Pull latest from Docker Hub

→ hub.docker.com/r/labsai/eddi

💡 Why EDDI?

Most multi-agent frameworks (LangGraph, CrewAI, AutoGen) are Python/Node libraries — great for prototyping, hard to govern in production. EDDI approaches from the opposite direction: a deterministic engine built to safely govern non-deterministic AI.

"The engine is strict so the AI can be creative." — Project Philosophy

📸 See It In Action