# EDDI

> EDDI — labsai-eddi. Use this tool when you need to integrate multiple AI agents and business systems to build sophisticated applications, and require intelligent routing and conversation management. EDDI solves problems of complexity and fragmentation in multi-agent interactions, enabling seamless coordination between users, AI agents, and business systems. It accepts inputs from various sources, orchestrates API interactions, and outputs coordinated responses to users.

Canonical page: https://skillsregistry.net/skills/labsai-eddi  
JSON: https://api.skillsregistry.net/v1/skills/labsai-eddi

## Description

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.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/labsai/EDDI)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "labsai-eddi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/labsai-eddi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/labsai-eddi/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt