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AgentsRoom
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#5820 Radar 23

Visual IDE for macOS developers to manage multiple AI coding agents.

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Product memo

MacOS developers gain a visual IDE for managing multiple AI coding agents like Claude, Codex, or Gemini CLI. It organizes projects into customizable rooms with role labels and real-time status indicators, replacing chaotic terminal panes. This setup simplifies parallel AI agent workflows, allowing developers to track progress, manage tasks, and review code changes from a single interface.

For who

macOS developers managing AI coding agents

Solves what

Visual management of multiple AI coding agents across projects

  • Visual IDE for AI agents
  • Multi-project organization
  • Real-time status tracking
"

In their own words

All your agents

All your Claude, Codex, Gemini CLI, OpenCode and Aider agents in one screen.

AgentsRoom is a desktop app — a visual IDE for Claude agents. It lets you run multiple Claude agents on your projects at the same time. Each agent has a role (DevOps, Frontend, QA...) and works in you

CTA: Live DemoFree

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier limits projects, not agents, to encourage initial adoption.
  • Pricing focuses on developer productivity as the core value driver.

Operator context

Founded

Mar 2026

HQ

France

Platform

Desktop

Audience

Developers

Payments

Stripe

Public footprint

Tech stack

Stripe

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About AgentsRoom Expand

AgentsRoom offers macOS developers a dedicated visual IDE for orchestrating AI coding agents. It helps users manage multiple agents, such as Claude, Codex, or Gemini CLI, within a structured environment.

The product replaces the complexity of managing parallel AI agent workflows in terminal panes with a visual interface, organizing projects into customizable rooms with clear role labels and real-time status tracking. This appeals to developers seeking a more efficient way to oversee AI-driven development tasks, from tracking progress to reviewing code changes, all from a single, integrated desktop application.