# Orchy

> Use this tool when you need to coordinate multiple AI agents and share resources efficiently, solving problems of distributed task management, knowledge sharing, and communication. Orchy provides a layer of coordination, enabling agents to access shared task boards, knowledge bases, and messaging channels through a Streamable HTTP interface. Ideal for multi-agent projects requiring shared state and coordination without infrastructure intelligence.

Canonical page: https://skillsregistry.net/skills/aboglioli-orchy  
JSON: https://api.skillsregistry.net/v1/skills/aboglioli-orchy

## Description

Delivers a coordination layer for AI agent systems with 71 MCP tools over Streamable HTTP, enabling agents to share task boards, knowledge bases with semantic search, messaging channels, distributed resource locks, and graph-based relationship modeling. Built in Rust with SQLite or PostgreSQL backend, includes a web dashboard and Docker Compose setup. Designed for multi-agent projects requiring shared state and coordination without embedding intelligence in the infrastructure.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aboglioli-orchy)
- **Repository:** <https://github.com/aboglioli/orchy>

## 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": "aboglioli-orchy"
    }
  }
}
```

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