# relaycore

> relaycore — totooss-relaycore. Use this tool when you need to facilitate seamless communication and decision tracking across multiple AI runtimes. Relaycore solves problems of data siloing and traceability by providing a shared memory space and structured command relay, enabling transparent and auditable decision-making. It accepts input from various AI sources and outputs a unified, traceable record of commands and decisions.

Canonical page: https://skillsregistry.net/skills/totooss-relaycore  
JSON: https://api.skillsregistry.net/v1/skills/totooss-relaycore

## Description

A lightweight, self-hostable MCP server for shared memory, structured command relay, and traceable decision evidence across AI runtimes.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aoqms6fakq)
- **Repository:** <https://github.com/totooss/relaycore>

## 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": "totooss-relaycore"
    }
  }
}
```

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