Catenary for Windows

Catenary, created by Giorgio Nícolas, is a native, local-first spatial canvas IDE and terminal orchestrator for AI coding agents on Windows. It replaces tabbed editors with an infinite, zoomable workspace that embeds a Monaco editor, native PTY terminals, and browser previews to coordinate multiple agents visually. The app includes visual context cables, task 'islands' for isolated git worktrees, and a Maestro mode for multi-agent orchestration. It targets developers and engineers who need visual coordination and strict local privacy while using AI assistants.

What tasks can you actually use it for?

The app maps multi-agent coding workflows onto an infinite workspace, so users compose agent-driven sequences, isolate experiments, and review generated code in place. It supports running various models and assistants as local processes; supported agents include Claude Code, Codex, Cursor, Grok, OpenCode, and Pi. This focus suits developers testing AI-driven code suggestions, multi-agent scripts, and iterative refactoring tasks.

How dependable is the app for coordinating multiple AI agents?

Orchestration emphasizes supervised automation: the primary conductor can recruit helper agents and wire their inputs, yet every orchestrated action requires human approval per the developer's description. Built-in editor features provide code intelligence to inspect outputs before merging, so generated changes remain subject to developer review. Expect the tool to coordinate agent steps reliably while requiring manual validation for production changes.

What inputs and deployment restrictions should you expect?

The tool follows a 100 percent local-first model: source code, prompts, API keys, and terminal outputs remain on the user machine and are not sent to vendor servers. It installs natively on Windows and is also available for macOS and Linux in AppImage, deb, and tar.gz formats. No account is required and telemetry is disabled, supporting offline usage and private storage of workspaces.

Does it fit team workflows or remote collaboration?

Maestro-style orchestration supports team-based task handling on a single workstation, but the app does not use accounts or cloud telemetry, so shared, cloud-hosted project syncing is not part of its model. Task isolation creates separate worktrees for parallel experiments, which helps teams that coordinate around machine-local artifacts. Teams that rely on cloud project sharing should plan for external synchronization tools.

Good fit for supervised, privacy-focused agent experimentation

Catenary suits developers who need machine-local orchestration of agent-assisted coding because it keeps code and prompts on-device and places human approval at the center of automated actions. Expect to pair the app with manual review and external sync when sharing work across a distributed team; use it for supervised experimentation and iterative development rather than unattended deployment of agent-generated code.