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The Bottom Line

Price
Free plan available, paid tiers above. Compare plans

Key facts

  • Visual orchestration of multiple AI coding agents on an infinite canvas
  • Local-first privacy with no account, no telemetry, and code never leaving your machine
  • Isolated worktrees and branches for parallel experiments without affecting the main codebase

Pros

  • Complete privacy: code never leaves your machine, no account required
  • Visual orchestration allows monitoring multiple agents simultaneously
  • Isolated worktrees enable safe parallel experimentation without conflicts

Cons

  • Installer is not code-signed, requiring manual bypass on first run
  • Maestro Mode actions require manual approval, which may slow down fully autonomous workflows

What is Catenary?

Editorial review
Catenary is a spatial IDE designed for orchestrating multiple AI coding agents simultaneously. It provides an infinite canvas where terminals, Monaco editors, browsers, and parallel git worktrees float, allowing developers to visually manage and monitor agent activities. The tool supports popular AI agents like Claude Code, Codex, Cursor, Grok, OpenCode, and Pi, enabling users to delegate tasks, wire context between agents, and run experiments in isolated branches without affecting the main codebase. Key features include 1-click worktrees that create isolated branches and working directories for each task, a Monaco editor with side-by-side diffs to review agent changes, and context wires that allow directed information flow between agents. Maestro Mode lets a lead agent recruit and brief a team of up to ten agents, with every action requiring human approval. The tool also supports multi-project and parallel branches, keeping each project's state separate. Catenary is local-first, meaning your code never leaves your machine. It requires no account, no telemetry, and only sends minimal outbound traffic for update checks and license activation. The installer is not code-signed yet, but the documentation explains how to bypass the system block.

Key Features

  • Infinite canvas for floating terminals, editors, browsers, and git worktrees
  • 1-click worktrees that create isolated branches and working directories for each task
  • Monaco editor with side-by-side diffs and git-aware file tree
  • Context wires for directed information flow between agents
  • Maestro Mode for recruiting and briefing a team of up to ten agents with approval cards
  • Multi-project support with separate canvases and isolated agent states
  • Local-first architecture with no telemetry and minimal outbound traffic
  • Support for multiple AI agents including Claude Code, Codex, Cursor, Grok, OpenCode, and Pi

Pricing Plans

Free Trial

Pricing checked Sep 30, 2026

Catenary plans and prices, checked September 2026
PlanPriceDetails
Free

Free

  • Canvas, terminais, editor, browser e git: ilimitado
  • Projetos abertos ao mesmo tempo: 1
  • Tarefas em paralelo: 2
+4 more
  • Ajudantes por agente no Modo Maestro: 2
  • Squads de fábrica: até 3 agentes
  • Criar e salvar squads próprios: não
  • Computadores ativados ao mesmo tempo: —
Pro

Custom

  • Canvas, terminais, editor, browser e git: ilimitado
  • Projetos abertos ao mesmo tempo: ilimitados
  • Tarefas em paralelo: ilimitadas
+4 more
  • Ajudantes por agente no Modo Maestro: 5 (ajustável de 2 a 10)
  • Squads de fábrica: todos os 5
  • Criar e salvar squads próprios: ilimitados
  • Computadores ativados ao mesmo tempo: 2, com vaga liberável

Is Catenary worth the price?

Good value

This pricing is best for solo developers or small teams who want to orchestrate AI coding agents without per-seat costs.

Hidden Costs & Gotchas

Free tier limits parallel tasks to 2, blocking multi-agent workflows

Reviews

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Catenary FAQ

How does Catenary help developers run experiments without affecting their main codebase?

Catenary provides 1-click worktrees that create isolated branches and working directories for each task, so developers can run experiments in parallel without affecting the main codebase. This allows safe parallel experimentation without conflicts.

How does Catenary differ from Cursor in its approach to AI coding?

While Cursor is an AI-powered code editor, Catenary is a spatial IDE designed for orchestrating multiple AI coding agents simultaneously on an infinite canvas. Catenary allows you to visually manage and monitor multiple agents like Claude Code, Codex, and Cursor itself, whereas Cursor focuses on inline code suggestions within a single editor.

What trade-off does Catenary's Maestro Mode introduce for autonomous workflows?

Maestro Mode lets a lead agent recruit and brief a team of up to ten agents, but every action requires human approval. This manual approval step may slow down fully autonomous workflows, making it less suitable for teams that need complete hands-off automation.

Which teams benefit most from Catenary's visual orchestration and isolated worktrees?

Teams that need to run multiple AI coding experiments in parallel without conflicts benefit most from Catenary. It is ideal for developers who want to delegate tasks to different agents, wire context between them, and review changes in isolated branches before merging.

How is Catenary priced?

Catenary is available on a free tier, with paid plans for more usage and features. The free tier allows users to try the tool without an account or telemetry.

Can Catenary run multiple AI agents from different providers simultaneously?

Yes, Catenary supports popular AI agents like Claude Code, Codex, Cursor, Grok, OpenCode, and Pi, allowing developers to run them simultaneously on the infinite canvas. You can delegate tasks to different agents and wire context between them for coordinated workflows.

Does Catenary require any account or send telemetry data?

No, Catenary is local-first and requires no account and no telemetry. Your code never leaves your machine, and only minimal outbound traffic is sent for update checks and license activation.

How does Catenary allow developers to review changes made by AI agents?

Catenary includes a Monaco editor with side-by-side diffs to review agent changes. This allows developers to see exactly what each agent modified before approving or merging the work.

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