# eion

> eion — eiondb-eion. Use this tool when you need to manage shared memory storage for multi-agent systems, solving problems of data consistency and synchronization across agents. It provides a centralized repository for agents to access and update shared data, accepting inputs from multiple agents and outputting unified storage. Ideal for use cases requiring collaborative agent workflows, such as distributed problem-solving or coordinated decision-making.

Canonical page: https://skillsregistry.net/skills/eiondb-eion  
JSON: https://api.skillsregistry.net/v1/skills/eiondb-eion

## Description

Shared Memory Storage for Multi-Agent Systems

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/eiondb/eion)

## 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": "eiondb-eion"
    }
  }
}
```

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