Antigravity 2.0 vs LocalCode

Antigravity 2.0 and LocalCode are both cli coding agents tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

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.

LocalCode

Type what you want, get a suggested command, approve it, and it runs — no API key, no network request, no telemetry. All inference runs on Apple Silicon through the Foundation Models framework, which means your file paths, hostnames, and search terms never travel anywhere. The workflow is strictly one-shot: one prompt, one command suggestion, one approval gate. There is no session memory, no chaining, and no multi-step automation. Teams that want anything beyond single-command suggestions will hit the ceiling of what this proof-of-concept was designed to do.

Attribute	Antigravity 2.0	LocalCode
Pricing	Paid	Free
Price	$0-$200/month	—
Free trial	No	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	macOS, Windows, Linux, Web-based	Apple Silicon Mac, macOS 26+
Released	2025-11	—
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.	All inference runs on-device via Apple Foundation Models, so file paths, hostnames, and search terms never leave the machine — which means no data-handling review before using it on sensitive internal systems. MIT-licensed with Go and Swift source fully available, so any developer can audit exactly what runs and modify the tool without negotiating a license or waiting on a vendor. A mandatory approval step before any command executes, so a misunderstood prompt cannot silently delete files or overwrite output — you review before it runs. No API key, account, or network connection required at runtime, so there is no quota to hit, no credential to rotate, and no outage dependency on a third-party service.
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.	The tool has no session memory and no command chaining: each prompt is independent. If you need to run 'find the large files, then compress them, then move them,' you issue three separate prompts and manually carry the output between steps — at which point you are doing the work the tool was supposed to save. The build requires macOS 26 and Xcode 26 alongside Apple Silicon. Teams with Intel Macs, Linux servers, or mixed-OS development environments cannot use it at all — this is the condition under which a team switches to a cloud-based CLI assistant like GitHub Copilot CLI or a self-hosted model with an OpenAI-compatible endpoint, which have no hardware gate. The vendor labels this a proof-of-concept explicitly. There are no open issues, no pull requests, and a commit history of 20 commits. Teams that need a maintained, production-grade tool with bug fixes and evolving model support are adopting technical debt the day they ship this to a shared workflow.

Bottom line

Antigravity 2.0 is paid while LocalCode is free; LocalCode is open source; only Antigravity 2.0 exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Antigravity 2.0 and LocalCode?

Antigravity 2.0 is Paid, while LocalCode is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Antigravity 2.0 better than LocalCode?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.