ghostwright/phantom
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.
Platform-specific configuration:
{
"mcpServers": {
"phantom": {
"command": "npx",
"args": [
"-y",
"phantom"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
<p align="center"> </p>
<h1 align="center">Phantom</h1> <p align="center">An AI co-worker with its own computer.</p>
<p align="center"> <a href="LICENSE"></a> <a href="https://hub.docker.com/r/ghostwright/phantom"></a> </p>
<p align="center"> <a href="https://ghostwright.dev/phantom">Website</a> · <a href="https://ghostwright.dev/phantom">Get a Free Phantom</a> · <a href="docs/">Docs</a> · <a href="https://github.com/ghostwright/phantom/issues">Issues</a> </p>
---
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 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.
These are not mockups. They happened on production Phantom instances.
A Phantom was asked to help with data analysis. It installed ClickHouse on its own VM, downloaded the full Hacker News dataset, loaded 28.7 million rows spanning 2007-202
Loading reviews...