Conductor Alternatives for Running Multiple Claude Code Agents

Managing multiple AI coding sessions requires a shift from traditional linear terminals to spatial environments. When searching for Conductor alternatives for running multiple Claude Code agents, developers often look for ways to escape the constraints of single-tab workflows. While Conductor provides a structured way to handle multi-tasking through git-worktrees, it introduces a specific workflow overhead that might not suit every project. Developers need environments where they can see concurrent agent actions, monitor terminal output in real time, and maintain visual context across several files without jumping between directories.

Understanding the Multi-Agent Workflow

The primary challenge in modern AI-assisted development is context fragmentation. When you run a tool like Claude Code, the agent needs access to the file system, a terminal to run tests, and a way to report progress. If you attempt to solve three different bugs simultaneously, you traditionally need three different terminal windows or a complex multiplexer setup.

Conductor manages this by creating isolated environments. It automates the creation of git-worktrees so that each agent operates in a separate branch and folder. This prevents file collisions but requires the developer to manage multiple physical paths on disk. For teams that prefer a more visual or unified approach, there are different ways to reach the goal of parallel agent execution.

The Role of Visual Context in AI Orchestration

A significant limitation of standard CLI tools is the lack of persistent visual context. Even when running multiple agents, you are often limited by what your terminal buffer can show. This is where an infinite canvas becomes relevant. Instead of stacking windows or switching tabs, a canvas allows you to place agents side by side.

Platforms like Deska provide a workspace where you can arrange terminals and code editors in a non-linear fashion. By placing one Claude Code instance on the left and another on the right, you can watch how they interact with the codebase in real time. This spatial arrangement helps in identifying if two agents are attempting to modify the same logic or if one agent's changes broke a dependency that another agent is currently using.

Key Features to Seek in Conductor Alternatives

When evaluating tools to manage your AI agents, consider the following technical requirements:

• Process Isolation: Each agent must run in its own process to avoid environment variable leakage or shared memory issues.
• Integrated Terminal Access: Since Claude Code and similar tools are CLI-driven, the environment must support full TTY capabilities.
• Local-First Architecture: Protecting intellectual property is easier when local-first principles are followed, keeping code and agent logs on your machine.
• Cross-Platform Support: Tools should function consistently across Mac, Windows, and Linux.

Comparing Approaches to Agent Management

Running Agents Parallel to the Editor

One friction point with many CLI agents is the disconnect between the terminal and the code editor. When an agent suggests a change, you often have to navigate to that file in a separate IDE. A unified workspace solves this by embedding the editor. Using the Monaco editor alongside coding agents allows for immediate verification of the code the AI is writing.

In Deska, this is handled through panels. You can open a terminal to run the claude command, and right next to it, open a code editor panel focused on the relevant source file. This eliminates the "hidden state" problem where an agent performs actions you cannot immediately see or audit.

Multi-Agent Operations with Deska

Deska offers a unique way to handle multiple Claude Code instances without forcing a specific git strategy. Because the canvas is infinite, you can zoom out to see the big picture and zoom in on specific agent tasks.

1. Launch separate terminal panels for each task.
2. Run your preferred agents like Claude Code, Codex, or OpenCode in each.
3. Use the notes panel to track goals for each agent.
4. Monitor the progress visually without leaving the desktop app.

This method avoids the git-worktree lock-in. If you want to work on different branches, you can simply change directories in the terminal panel. If you want to work on the same branch but different files, the agents can coexist in the same directory while you monitor their terminal output simultaneously.

Monitoring Agents on the Go

A common pain point in long-running AI tasks is the need to stay at the desk while the agent processes complex refactors. Some alternatives offer mobile integration. This allows a developer to start a multi-agent task on their desktop and then walk away, monitoring the terminal output via a secure relay on their phone. This type of remote observability ensures that if an agent gets stuck or requires a manual confirmation, you can provide it without returning to your workstation.

FAQ

How to run multiple Claude Code instances?

To run multiple instances, you must ensure each process has a unique session identifier if the tool requires one. In most environments, this simply involves opening multiple terminal tabs or panels and executing the command in each. Using a workspace that permits side-by-side terminal views makes it easier to manage the output of these concurrent sessions.

Are there free alternatives to Conductor?

Yes, many developers use terminal multiplexers like tmux or screen. However, for a more visual and integrated experience, the Deska desktop app is free for the workspace itself. You can bring your own API keys to run various agents within the infinite canvas environment on Windows, Mac, or Linux.

Can Claude Code edit files locally?

Claude Code is designed to operate on your local file system. It requires permission to read and write files within the directory where it is launched. Choosing a tool that prioritizes data and storage on your own machine ensures that your source code does not leave your local environment unless explicitly sent to the AI provider.

Getting Started with a Spatial Workspace

If you find that traditional terminal tabs are limiting your productivity with AI agents, moving to a spatial workspace might be the solution. By treats agents as visual entities on a canvas, you gain better control over the development process. You can download the desktop application at /download and begin organizing your Claude Code sessions in a way that fits your specific workflow.