Problem solved

Developers using AI coding agents often struggle with managing multiple terminal sessions, code editors, and reference files simultaneously, leading to fragmented workflows and lost productivity. Collaborator solves this by offering a single workspace where all agent interactions, terminals, code outputs, and context documents can be freely arranged on an infinite canvas, keeping everything visible and organized. This reduces cognitive load and streamlines the agentic development process.

Use cases

• Running multiple Claude Code agents on separate tasks simultaneously, each in its own terminal pane, to parallelize development work.
• Laying out documentation, code files, and agent outputs side by side to understand and modify a complex codebase efficiently.
• Pairing frontend and backend agent-driven development by dedicating separate terminals and file views to each area.
• Debugging by having one agent run tests while another analyzes logs, with all relevant terminals and files visible on the same canvas.
• Learning and experimenting with agentic coding tools in a sandboxed, customizable workspace.

Audience

• Developers
• Researchers

Pros

• Reduces context switching by unifying terminals, files, and code on a single infinite canvas.
• Native desktop performance with support for macOS, Windows, and Linux.
• Windows support includes PowerShell and WSL2 terminals, accommodating diverse environments.
• Open-source with an active community, allowing customization and contributions.
• Designed specifically for agentic development workflows, enhancing productivity with AI agents.

Cons

• Early-stage software; may lack stability and advanced features expected in mature tools.
• Limited to desktop platforms; no web or mobile version available.
• Requires installation and configuration of external AI coding agents, as Collaborator is an environment rather than a standalone agent.