# OpenOctopus

> OpenOctopus — zpoteiti-openoctopus. Use this tool when you need to deploy and manage AI agents across multiple machines, streamlining execution and reducing complexity. OpenOctopus solves the problem of fragmented tool management by allowing you to run tools seamlessly across every machine, with integration with git for version control. It takes in AI agents and tool commands as input and outputs unified execution and management capabilities.

Canonical page: https://skillsregistry.net/skills/zpoteiti-openoctopus  
JSON: https://api.skillsregistry.net/v1/skills/zpoteiti-openoctopus

## Description

Run AI agents on one server. Execute tools across every machine you own.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Zpoteiti/OpenOctopus)

## 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": "zpoteiti-openoctopus"
    }
  }
}
```

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