# Autonome

> Use this tool when you need to manage autonomous AI operations and coordinate tasks across multiple systems. Autonome solves problems of maintaining context and continuity during long sessions, and enables federation with other AI agents for streamlined workflow management. It accepts inputs such as scheduled wake messages and heartbeat pings, and outputs include async task dispatch and session logs, making it ideal for use cases requiring autonomous control and coordination.

Canonical page: https://skillsregistry.net/skills/8agana-autonome  
JSON: https://api.skillsregistry.net/v1/skills/8agana-autonome

## Description

Enables autonomous control over wake/sleep cycles and federation with other AI agents. Provides scheduled wake messages via launchd, configurable heartbeat pings to maintain context during long sessions, and async task dispatch for coordinating work across multiple AI systems. Uses AppleScript for Claude Desktop interaction on macOS, SQLite for state management, and includes session logging and maintenance tracking.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/8agana-autonome)
- **Repository:** <https://github.com/8agana/autonome-mcp>

## 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": "8agana-autonome"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/8agana-autonome` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/8agana-autonome/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
