ghostwright

Phantom — AI skill for Claude Code

AI community

An AI co-worker with its own computer.

How to install Phantom

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ghostwright/phantom and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Phantom does

An AI co-worker with its own computer. Self-evolving, persistent memory, MCP server, secure credential collection, email identity. Built on the Claude Agent SDK.

Alternatives in AI

  • Osaurus — Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cry 5.1k ★
  • Khazix Skills — DA collection of AI Skills for managing and evolving your skill library 1.5k ★
  • Flow Next — Plan-first AI workflow plugin for Claude Code, OpenAI Codex, and Factory Droid 569 ★

README

Phantom

Phantom

An AI co-worker with its own computer.

License Tests Docker Pulls Version

Website · Get a Free Phantom · Docs · Issues


The Idea

AI agents today are disposable. You open a chat, get an answer, close the tab, and the context is gone. Next time you start from scratch. Every session is day one.

Phantom takes a different approach: **give the AI its own computer.** A dedicated machine where it installs software, spins up databases, builds dashboards, remembers what you told it last week, and gets measurably better at your job every day. Your laptop stays yours. The agent's workspace is its own.

This is not a chatbot. It is a co-worker that runs on Slack, has a web chat interface at `/chat`, has its own email address, creates its own tools, and builds infrastructure without asking for permission. Don't take our word for it - scroll down to see what production Phantoms have actually built.

What This Actually Looks Like

These are not mockups. They happened on production Phantom instances.

Built an analytics platform from scratch

A Phantom was asked to help with data analysis. It installed ClickHouse on its own VM, downloaded the full Hacker News dataset, load