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EDDI
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EDDI

Active·★ 363·Apache-2.0·Updated 2026-07-16
★ Multi-Agent★ LLM Infra

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.

EDDI is currently grouped under RAG / Knowledge Base, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Multi-Agent Orchestration with intelligent routing and group conversations and Building enterprise-grade conversational AI assistants with multi-agent collaboration. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 363 GitHub stars.

#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

Why choose it

+Multi-Agent Orchestration with intelligent routing and group conversations
+Building enterprise-grade conversational AI assistants with multi-agent collaboration
+Covers 4 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a Apache-2.0 license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Linux
Linux
Verified via docs
macOS
macOS
Verified via docs
Windows
Windows
Verified via docs
Docker
Docker
Verified via docs
05

Quick start

1
$ curl -fsSL https://raw.githubusercontent.com/labsai/EDDI/main/install.sh | bash
06

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
07

How it compares

≈EDDI sits in the RAG / Knowledge Base category, so it makes more sense to evaluate it alongside tools like mindsdb instead of in isolation.
≈If your main need is closer to "Building enterprise-grade conversational AI assistants with multi-agent collaboration", that use case is a better lens for comparison than broad feature checklists alone.
≈EDDI uses a Apache-2.0 license, and community traction are both easier to judge in category context.
08

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

Comments

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  • ?
    usr_seed_0330May 5, 2026

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

  • ?
    usr_seed_0241Apr 27, 2026

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

  • ?
    usr_seed_0128Mar 30, 2026

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

  • ?
    usr_seed_0862Mar 10, 2026

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

  • ?
    usr_seed_0576Feb 27, 2026

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

On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 363
Last commit4d ago
StatusActive
LicenseApache-2.0
CategoryRAG / Knowledge Base
Trend (30d)
+14.5↑ 0.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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