claude-squad
claude-squad is an open-source terminal-based session manager designed to run and orchestrate multiple AI coding agents simultaneously in the background. It provides a terminal user interface (TUI) that lets developers launch, monitor, and control several instances of AI assistants (specifically aimed at Claude Code) working on separate tasks concurrently. Each agent operates in its own managed terminal session, with real-time status updates, integration with Git for diff viewing, and efficient resource usage through lightweight metadata polling. The tool streamlines parallel code tasks such as reviewing multiple branches, refactoring different modules, or fixing several bugs at once. Its TUI displays a list of active agent sessions with key metrics like added/removed lines, and allows users to switch between instances to inspect full diffs or terminal output. Performance optimizations, like computing full git diffs only for the selected instance, keep memory usage bounded even with many concurrent sessions. claude-squad is built in Go and distributed as a single binary or installable via Go tooling. It targets developers who regularly use AI coding assistants and need to multiply their productivity by delegating multiple independent tasks to agents that run unattended. The tool integrates deeply with Git repositories, automatically tracking changes made by each agent and presenting them in a unified interface.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Developers using AI coding assistants face the challenge of managing multiple, often long-running tasks simultaneously. Opening separate terminals or tabs for each agent quickly becomes unwieldy, and there is no easy way to monitor progress, compare outputs, or control the agents collectively. claude-squad solves this by offering a single terminal-based dashboard where developers can launch and supervise any number of AI agent sessions, each working on a distinct task, with built-in Git diff tracking and session management. This eliminates context switching overhead and makes it practical to run many AI-assisted coding tasks in parallel.
Use cases
- Run multiple Claude Code agents concurrently to review and fix bugs across different branches without manual supervision.
- Perform parallel refactoring of separate code modules, with each agent handling one module's changes.
- Automate code review processes by having several agents analyze pull requests simultaneously and present combined diff summaries.
- Manage long-running AI-driven code generation tasks (e.g., scaffolding new features in different services) and check on their progress from a single pane.
- Use as a local AI task runner where each agent is assigned a specific issue from a bug tracker, with results aggregated in one terminal view.
Audience
- Developers
Pros
- Lightweight terminal interface reduces clutter for managing multiple AI agents.
- Git-aware diff tracking per agent session with intelligent performance optimizations.
- Straightforward installation as a single binary with no external dependencies.
- Allows true parallel execution of independent coding tasks without user babysitting.
- Open source and actively maintained with community contributions.
Cons
- Limited to terminal use; no graphical or web-based interface.
- Primarily tailored for Claude Code agents, which may limit compatibility with other AI coding tools.
- Currently lacks built-in collaboration features for sharing agent sessions across a team.
Official website: https://github.com/smtg-ai/claude-squad
Canonical LambdaBase page: https://www.lambdabase.com/tools/claude-squad