The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Desktop
Agentify Desktop lets Codex/Claude/OpenCode control your logged-in ChatGPT, Claude, AiStudio, Gemini, Grok, Perplexity web sessions via MCP, parallel hidden/visible tabs, file…
Install
claude mcp add --transport stdio agentify-desktop -- npx -y @agentify/desktop mcpInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Agentify Desktop
Agentify Desktop is a local control center for AI web sessions. It lets MCP-capable tools such as Codex, Claude Code, and OpenCode use the AI subscriptions you are already signed into, while keeping browser state, files, and automation on your machine.
What It Does
- Opens a local Agentify Control Center.
- Manages signed-in browser sessions for ChatGPT, Claude, Perplexity, Gemini, Google AI Studio, and Grok.
- Exposes MCP tools for querying a tab, reading a page, navigating, uploading files, saving artifacts, and reusing stable tab keys.
- Supports parallel tabs so different agents or tasks can use separate sessions.
- Packs local repo/file context into prompts when requested.
- Saves generated images/files locally so they can be reused in follow-up prompts.
Example Prompts After MCP Setup
Once Agentify Desktop is running and registered with your MCP client, you can ask for workflows like:
- “Use Agentify with key
repo-triageto ask ChatGPT for a second opinion on this bug, then compare its answer with your own analysis.” - “Open a Perplexity tab with key
research-auth-flowand research current OAuth best practices for desktop apps.” - “Send this implementation plan to Claude in a separate Agentify tab and summarize any risks it finds.”
- “Use Agentify to generate three UI concept images, save the images as artifacts, and return the local file paths.”
- “Open Grok and ChatGPT in separate Agentify tabs, ask both to review this API design, then compare the tradeoffs.”
- “Pack this repo into context, ask ChatGPT to identify risky files, and save the conversation under a stable tab key for follow-ups.”
- “Read the current ChatGPT page through Agentify and turn the conversation into actionable TODOs.”
Requirements
- Node.js 20 or newer
- An MCP-capable CLI if you want tool integration: Codex, Claude Code, or OpenCode
Supported Sites
chatgpt.comclaude.aiperplexity.aiaistudio.google.comgemini.google.comgrok.com
Preferred Install And Run
Start the desktop GUI without cloning this repo:
npx @agentify/desktop
Equivalent explicit GUI command:
npx @agentify/desktop gui
If you prefer a global install:
npm install -g @agentify/desktop
agentify-desktop
If you want the older repo-clone and local source workflow, use DEVELOPMENT_FROM_SOURCE.md.
MCP Server
Run the MCP server over stdio:
npx @agentify/desktop mcp
Show newly-created browser tabs while debugging:
npx @agentify/desktop mcp --show-tabs
With a global install:
agentify-desktop-mcp
agentify-desktop-mcp --show-tabs
Register With MCP Clients
Codex:
codex mcp add agentify-desktop -- npx -y @agentify/desktop mcp
Claude Code:
claude mcp add --transport stdio agentify-desktop -- npx -y @agentify/desktop mcp
OpenCode config example:
{
"mcp": {
"agentify-desktop": {
"type": "local",
"command": ["npx", "-y", "@agentify/desktop", "mcp"],
"enabled": true
}
}
}
Use --show-tabs at the end of the command while debugging:
codex mcp add agentify-desktop -- npx -y @agentify/desktop mcp --show-tabs
First Run
- Start the app:
npx @agentify/desktop
In the Control Center, create or show a ChatGPT tab.
Sign in to the target vendor in the browser window.
Register the MCP server with your CLI.
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