👤 Written & Reviewed by Bill Gao (Lead Editor) • Aug 30, 2026 • ai-chat

Lots of Agents Review 2026: Run multiple Grok Bot, Cursor, Claude, and ChatGPT logins on one Mac

Lots of Agents runs multiple signed-in clones of Grok Bot, Cursor, Claude, and ChatGPT on one Mac. Each clone gets an isolated user-data-dir so Work and Personal stay logged in at the same time.

Lots of Agents

What Lots of Agents Does

Lots of Agents lets you run multiple signed-in copies of your AI coding apps on one Mac. Grok Bot, Cursor, Claude, and ChatGPT (Codex) don’t give you a clean work/personal switcher, so Lots of Agents launches the same installed app with a private data folder per clone — Work and Personal stay signed in simultaneously. One binary, update once, every clone picks it up.

Key Features

Isolated logins and chats per clone via private --user-data-dir
Shared app updates — still the official app in /Applications
Dock wrappers like Grok Bot Work.app with tinted icons
Optional deeper isolation via a private ~/.cursor overlay symlinked to your real home
Runs only on your Mac; no analytics

Who Should Use Lots of Agents

People juggling two (or more) logins for the same AI app — work + personal, or client + side project — who are tired of signing out, using a second Mac user, or browser profiles.

Pros and Cons

Pros

Clean separation of work and personal sessions
No duplicate .app bundles; updates stay shared
Mac-native, no telemetry

Cons

macOS-only and distributed as an unsigned/ad-hoc build
Niche need — only useful with multiple AI app accounts
Not affiliated with xAI, Anysphere, Anthropic, or OpenAI

Pricing

Free and open source under MIT.

FAQ

Does it copy the apps?

No — it launches the real installed .app with an isolated data folder; removing Lots of Agents does not uninstall Grok/Cursor/Claude/ChatGPT.

Is it notarized?

The default release is unsigned/ad-hoc; a notarized DMG is optional and requires an Apple Developer ID.

✍️

Bill Gao Lead Editor

Founder and lead editor at 9bests. Oversees software evaluations, documented taxonomy models, and qualitative editorial ratings. Read our full editorial methodology.

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