How do I set up Claude Squad to work with Aider?

Configure a profile in the config.json file with the Aider command, such as 'aider --model ollama_chat/gemma3:1b', as shown in the profiles example. Then launch it using the -p flag or set it as the default program.

Claude Squad vs just opening multiple terminal tabs for AI assistants?

Claude Squad provides integrated management with git isolation, change review, and a unified TUI, whereas multiple tabs lack automation and can lead to git conflicts. It's better for organized, parallel workflows with version control.

Does Claude Squad support OpenAI Codex?

Yes, you can use Codex by setting the OPENAI_API_KEY environment variable and launching with 'cs -p codex' or configuring a profile for it, as mentioned in the usage section for other AI assistants.

How to review AI-generated code changes in Claude Squad?

Use the diff tab in the TUI by pressing Tab to switch, and navigate with Shift+Arrow keys to scroll through changes before committing or checking out, per the menu actions for change review.

What are the system requirements for running Claude Squad?

Requires tmux and GitHub CLI installed on Unix-like systems; installation is via Homebrew or a manual script, but Windows support may be limited due to tmux dependency, as indicated in prerequisites.

Is Claude Squad open source and what's the license?

Yes, it's open source under the AGPL-3.0 license, which means modifications and distributions must also be open source, as stated in the license section of the README.

Open-Awesome

Claude Squad

AGPL-3.0Gov1.0.19

A terminal app that manages multiple AI coding agents like Claude Code, Codex, and Aider in isolated workspaces for simultaneous task handling.

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What is Claude Squad?

Claude Squad is a terminal application that allows developers to run and manage multiple AI-powered coding assistants concurrently. It creates isolated workspaces for each agent using tmux and git worktrees, enabling parallel work on different coding tasks without conflicts.

Target Audience

Developers who regularly use AI coding assistants like Claude Code, Codex, Gemini, or Aider and need to manage multiple concurrent coding sessions or tasks from a single terminal interface.

Value Proposition

Developers choose Claude Squad for its ability to orchestrate multiple AI agents in parallel with isolated git workspaces, preventing task conflicts, and providing a unified TUI for managing background tasks, reviewing changes, and controlling workflows.

Overview

Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.

Use Cases

Best For

Managing multiple concurrent AI-assisted coding tasks in isolated environments
Running background AI coding sessions with auto-accept mode for automated workflows
Reviewing and controlling AI-generated code changes before applying them via an integrated interface
Switching between different AI assistant profiles (e.g., Claude, Codex, Aider) for specialized workflows
Preventing git conflicts when using multiple AI agents on the same codebase through separate worktrees and branches
Integrating AI coding assistants into a unified terminal-based management system with session control

Not Ideal For

Developers who use only one AI coding assistant for simple, sequential tasks without concurrent sessions
Projects not using Git for version control, as Claude Squad relies on git worktrees for isolation
Teams or individuals preferring graphical interfaces over terminal-based management tools
Environments where installing dependencies like tmux and GitHub CLI is restricted or undesirable

Pros & Cons

Pros

Parallel Agent Orchestration

Allows running multiple AI assistants like Claude Code, Codex, and Gemini simultaneously from a single terminal interface, as highlighted in the multi-agent management feature.

Git Workspace Isolation

Uses git worktrees to create isolated branches for each task, preventing code conflicts between concurrent AI sessions, which is a core part of how it works.

Automated Background Processing

Supports auto-accept mode for hands-off task completion, enabling agents to work in the background without constant user intervention, noted in the experimental features.

Configurable Workflow Profiles

Enables named profiles for different AI tools, letting users switch between assistants like Aider with custom models easily, as detailed in the configuration section.

Cons

External Tool Dependencies

Requires tmux and GitHub CLI (gh) to be installed and configured, adding setup complexity and potential compatibility issues, as noted in the prerequisites.

Terminal-Only Interface

Lacks a graphical user interface, making it less accessible for developers uncomfortable with command-line tools or TUI navigation, which may limit adoption.

Experimental Auto-Accept Mode

The auto-accept feature is marked as experimental, which may lead to instability or unexpected behavior in automated workflows, as cautioned in the usage flags.

Frequently Asked Questions

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