autonomous-agent-harness

Configure Claude Code with persistent memory, scheduled tasks, and computer use.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/zero3041/PREP --skill autonomous-agent-harness-zero3041
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autonomous-agent-harness
Source: https://github.com/zero3041/PREP/tree/main/.claude/skills/skills/autonomous-agent-harness
Command: npx skills add https://github.com/zero3041/PREP --skill autonomous-agent-harness-zero3041

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Claude Code, MCP memory server, MCP scheduled-tasks server, MCP computer-use server, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms Claude Code into a fully autonomous agent system, solving the need for continuous, scheduled, and self-directing AI operations without relying on standalone frameworks.

Core Features & Use Cases

  • Persistent Memory: Leverages Claude Code's built-in memory system and MCP memory server for structured data storage.
  • Scheduled Operations: Uses Claude Code's scheduled tasks for recurring agent operations.
  • Dispatch / Remote Agents: Triggers Claude Code agents remotely for event-driven workflows.
  • Computer Use: Integrates Claude's computer-use MCP for physical world interaction.
  • Task Queue: Manages a persistent queue of tasks that survive session boundaries.
  • Use Case: Ideal for setting up automated workflows, building personal AI assistants, or replicating functionality from autonomous agent frameworks like Hermes or AutoGPT.

Quick Start

Use the autonomous-agent-harness skill to create a scheduled task that reviews GitHub pull requests daily at 9 AM.

Frequently Asked Questions about autonomous-agent-harness

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make Claude Code run autonomously with scheduled tasks?

You can make Claude Code run autonomously by using the autonomous-agent-harness to configure scheduled operations, enabling the agent to execute recurring workflows and self-directing loops without manual intervention.

What is the best way to build an autonomous AI agent with persistent memory?

Building an autonomous AI agent with persistent memory involves leveraging Claude Code's built-in memory system alongside an MCP memory server for structured data storage, allowing task queues to survive session boundaries.

Can I use Claude Code for computer use and physical world interaction?

Yes, Claude Code can perform computer use and physical world interaction by integrating the Claude computer-use MCP server, allowing the autonomous agent to interact directly with your operating system.

Do I need MCP servers to set up a self-sustaining Claude Code agent?

Yes, setting up a self-sustaining Claude Code agent requires MCP servers for memory, scheduling, and computer use to enable persistent data storage, recurring operations, and system interaction.

How does this autonomous agent approach compare to using AutoGPT?

This approach replicates autonomous agent framework functionality like AutoGPT directly within Claude Code, eliminating the need for standalone frameworks by utilizing MCP servers for scheduled operations and memory.