How do their growth rates compare?

Maestri has a month-over-month growth rate of +41.6%; Scape has -23.8%.

How does pricing compare?

Maestri: Free Trial, Paid, Free. Free to get started on macOS (Apple Silicon, macOS 15.4+); the site also links Windows and Linux builds. The listed pricing model includes free and paid tiers plus an evaluation path. Scape: Free Trial, Paid. Scape offers a 14-day free trial of the full app (Pro included) with no account or card required, limited to one trial per Mac. Paid tiers are billed monthly or yearly (yearly saves 17%): Pro at $8.25/month billed $99 yearly, and Command at $16.58/month billed $199 yearly. Every plan runs on your own agent subscription (Claude Code, Codex, Cursor, Copilot and others), so Scape is a workspace layer rather than an AI provider.

What are alternatives to Maestri and Scape?

Other tools in related categories include Cursor, Google Antigravity, Command Code, Orca, KaneAI.

Maestri vs Scape — Traffic (57.63K vs 12.12K), Pricing & Verdict

Open AI Tools

Maestri vs Scape — Traffic (57.63K vs 12.12K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Maestri	Scape
Official Domain	themaestri.app	scape.work
Pricing Model	Free Trial, Paid, Free	Free Trial, Paid
Monthly Visits	57.63K (57,632)	12.12K (12,122)
MoM Traffic Delta	+16.93K (+41.6%)	-3.79K (-23.8%)
Primary Market & Share	🇧🇷 Brazil (92.6%)	🇺🇸 United States (47.5%)
Direct Visits / mo	19.39K	2.23K
User Rating	4.2	4.4
Supported Platforms	Website	Website

Maestri

An infinite canvas for orchestrating multiple AI coding agents on macOS

Infinite agent canvas

Every agent becomes a terminal node on a boundless canvas, so you can see the whole operation at once instead of juggling separate windows.

Direct agent-to-agent handoff

Connect nodes with lines and agents talk to each other through the terminal layer — one agent types into another's terminal, with no API glue or middleware.

Role assignment

Give each agent a defined role so teammates work from the same structure rather than every agent starting over with no idea who does what.

Persistent project state

The canvas holds the state of the project visually, so when you come back you can see where everything stands instead of reconstructing it from memory.

Strengths & Pros

+Keeps multi-agent state visible on one canvas instead of split across terminals
+Direct terminal-to-terminal handoff removes the need for API glue or middleware
+Native macOS app with a fast, purpose-built interface
+Free entry point makes it low risk to try a multi-agent setup