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EDDI
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EDDI

Active·★ 354·Apache-2.0·Updated 2026-05-27
★ Multi-Agent★ LLM Infra

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

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.

#a2a#ai-agents#ai-orchestration#chatbot#conversation-memory#conversational-ai#docker#enterprise-ai
$ Install
$ curl -fsSL https://raw.githubusercontent.com/labsai/EDDI/main/install.sh | bash
↗ Visit site★ GitHub
01

Features

01Multi-Agent Orchestration with intelligent routing and group conversations
02Support for 12 LLM providers including cloud, enterprise, and self-hosted options
03Standards & Interoperability via MCP, A2A, OpenAPI, and OAuth 2.0
04Persistent memory, token-aware context management, and RAG capabilities
05Enterprise-grade security, compliance (GDPR, HIPAA, EU AI Act), and audit ledger
02

Compatibility

Linux
Linux
Verified via docs
macOS
macOS
Verified via docs
Windows
Windows
Verified via docs
Docker
Docker
Verified via docs
03

Quick start

1
$ curl -fsSL https://raw.githubusercontent.com/labsai/EDDI/main/install.sh | bash
04

Use cases

↳Building enterprise-grade conversational AI assistants with multi-agent collaboration
↳Orchestrating multi-agent debates and group discussions for decision-making
↳Implementing compliance-ready AI systems with audit trails and data governance
05

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Related searches

EDDI AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge BaseEDDI TutorialEDDI Vs Competitorsa2aai-agentsai-orchestration

Comments

Log in to leave a comment
  • E
    Elliot NguyenMay 5, 2026

    JSON-driven config for production-grade agents reduces code surface area considerably.

  • O
    Oakley PatelApr 27, 2026

    Multi-agent coordination built into the engine, not bolted on.

  • Kendall Rivera
    Kendall RiveraMar 30, 2026

    Good for teams who want agent behavior defined in config, not code.

  • J
    Jamie HarrisMar 10, 2026

    Config-driven approach makes agent definitions reviewable and version-controllable.

  • C
    Cameron DavisFeb 27, 2026

    Production-ready from the start, not a prototype framework.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 354
Last commit3d ago
StatusActive
LicenseApache-2.0
CategoryRAG / Knowledge Base
Trend (30d)
+14.1↑ 0.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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