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Tortie

Open Source
• Updated Aug 27, 2026, 09:11 AM

Tortie is a native macOS application designed to multiplex AI coding agents and terminal sessions within a single window.

Use Cases ▼
01

Managing multiple AI coding agents simultaneously across different projects

02

Keeping agent sessions alive across system restarts or crashes

03

Organizing terminal sessions per project in a single macOS window

04

Reducing terminal clutter when working with numerous concurrent agent tasks

05

Replacing tmux for macOS users who prefer a native graphical interface

06

Monitoring long-running agent jobs with persistent output

What Problem It Solves ▼

Developers using AI coding agents often need to manage multiple agent sessions and terminal windows, leading to clutter and lost context. Tortie solves this by providing a native macOS multiplexer that keeps all projects and agents in one window, persists agents across restarts, and organizes terminal sessions without requiring tmux.

Key Features ▼
✓

Native macOS experience

✓

Agents persist across restarts

✓

All projects in one window

✓

No tmux needed

✓

Open source

Overview

Tortie is a native macOS application designed to multiplex AI coding agents and terminal sessions within a single window. It provides an integrated environment where developers can manage multiple projects and agents simultaneously, similar to how an IDE organizes workspaces, but with a focus on AI agent orchestration. Unlike traditional terminal multiplexers like tmux, Tortie offers a calm, graphical interface tailored for macOS.

Full Description ▼

The tool emphasizes persistence and organization: agents survive restarts, allowing long-running tasks to continue across system reboots. It organizes terminal sessions per project, eliminating the need for manual tmux session management. By consolidating projects and agents in one window, Tortie aims to reduce context switching and cognitive load for developers working with multiple AI coding agents.

Tortie is open source and positioned for developers who rely on AI agents for coding tasks. It bridges the gap between CLI-based multiplexers and full-fledged IDEs, offering a lightweight but structured workflow for managing agent interactions and terminal output.

Pros & Cons

Pros

+

Native macOS experience

+

Agents persist across restarts

+

All projects in one window

+

No tmux needed

+

Open source

Cons

−

macOS only

−

May have limited feature set compared to mature multiplexers

−

Potential learning curve for tmux users

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