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Antigravity 2.0 vs Stagewise

Bottom line

Stagewise is open source and Antigravity 2.0 is not. You can run Stagewise on your own machine or server; Antigravity 2.0 is hosted by the vendor.

Which one should you try?

Antigravity 2.0

Freemium

Best for Developers building with AI agents

Visit Antigravity 2.0 See full review

Stagewise

Freemium

Best for Frontend development on production codebases

Visit Stagewise See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Antigravity 2.0

Antigravity 2.0

The vendor describes Project IDX as a browser-based IDE where agents handle multi-step coding tasks end-to-end: writing code, executing it, observing what breaks in a live preview, and self-correcting before handing back control. Multi-model support means you are not locked to a single provider when one model handles your stack better than another. The free tier exists but carries usage caps that surface quickly on longer agentic runs — teams hitting those caps mid-task face a hard stop, not a graceful queue. Browser-based architecture removes local setup friction but also removes offline access and the deep editor customization that engineers who have spent years tuning their environment tend to miss.

Stagewise

Stagewise

Open-source agentic IDE with embedded frontend coding agent that runs in your browser on localhost.

AttributeAntigravity 2.0Stagewise
PricingFreemiumFreemium
Price$0-$200/month$20/mo
Pricing checkedJun 11, 2026Jun 11, 2026
Free trialNot statedNot stated
Open sourceNoYes
Has APIYesYes
Self-hosted optionNoYes
PlatformsmacOS, Windows, Linux, Web-basedmacOS, Linux, Windows (browser-based + desktop app)
Released2025-112024
Pros
  • Self-verifying execution loop — the agent runs code, observes live browser output, and revises without waiting for you to relay what broke, which means you stop being the error-relay between your AI tool and your test environment.
  • Multi-model support in a single environment, so switching the underlying model when one handles your framework better is a configuration change rather than a tool migration.
  • Browser-based access with no local setup, which means onboarding a new developer or spinning up a fresh environment takes minutes rather than an afternoon of dependency resolution.
  • Multi-agent task splitting lets separate agents handle discrete parts of a complex task in parallel, cutting the wall-clock time on multi-step workflows that a single-agent loop would process serially.
  • API access means the agentic core can be called from external pipelines, so teams integrating AI into CI or build systems are not forced to use only the browser interface.
  • Eliminates context switching between browser and editor
  • Works with existing production codebases without refactoring
  • Compatible with all major frontend frameworks
  • Bring-your-own-key support for AI providers
  • High cache-hit rates (87.6% average) for cost efficiency
Cons
  • Free tier usage caps terminate agentic runs mid-task when a multi-step job exceeds the allotment — there is no graceful queue, the session stops, and teams restart manually or upgrade to a paid tier before they have fully evaluated whether the tool fits.
  • No self-hosted option and no offline access: teams with data residency requirements, air-gapped environments, or security policies restricting cloud-only tooling cannot use this at all, and those teams move to locally-deployable alternatives rather than filing exception requests.
  • Browser-based execution means editor customization stops at what Google exposes in the interface — developers who depend on a specific plugin, language server configuration, or terminal workflow find the ceiling fast, and the path forward is maintaining a second local environment for the tasks IDX cannot handle.
  • Complex conditional branching across more than a few agents strains the multi-agent coordination layer; community reports describe tasks with deep dependency chains producing inconsistent results, and teams handling those workflows add manual checkpoints that undercut the automation they bought the tool to achieve.
  • AGPL-3.0 license restricts commercial use without licensing
  • Primarily focused on frontend development, not full-stack
  • Requires local development environment setup

Made up your mind?

Antigravity 2.0

Freemium

Best for Developers building with AI agents

Visit Antigravity 2.0 See full review

Stagewise

Freemium

Best for Frontend development on production codebases

Visit Stagewise See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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