Antigravity 2.0 vs Guildly

Antigravity 2.0 and Guildly are both coding assistants 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.

Guildly

Each agent has a fixed role: PM writes PRDs, Manager routes tickets, SDEs work in isolated git worktrees, Reviewer signs off before anything merges. Every action traces back through a chain — line of code to ticket, ticket to PRD, PRD to the #general message that started it. The audit trail isn't a report you run after the fact; it's the structure the system runs on. That structure is also the ceiling: teams needing agents to adapt their process mid-sprint, or handle workflows that don't fit the six-role model, will hit the playbook's edges before long. The tool is in beta, with no API and no self-hosted option, so the surface you can extend is narrow.

Attribute	Antigravity 2.0	Guildly
Pricing	Paid	Free
Price	$0-$200/month	—
Free trial	No	No
Open source	No	No
Has API	Yes	No
Self-hosted option	No	No
Platforms	macOS, Windows, Linux, Web-based	macOS
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.	Deterministic six-role workflow (PM → Manager → SDE → Reviewer) means agents don't improvise or skip steps, so you're not debugging a PR that nobody remembers creating. Full audit chain from code line to PRD to originating conversation, which means tracing a regression takes seconds instead of a git-blame session that still doesn't explain the why. Git worktree isolation per SDE ticket, so parallel agents working the same repo don't stomp each other's files mid-sprint. Model-agnostic agent identity — swapping the underlying LLM doesn't wipe team history or personality, so a model deprecation doesn't mean starting over. Per-agent token dashboard with cost limits on autopilot, so you can walk away without discovering in the morning that the overnight run cost more than you planned.
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 six-role org chart is fixed — if your project needs a different shape (a dedicated QA agent, a data engineer, a second PM), the structure doesn't bend. Teams with non-standard workflows end up either forcing their process into the existing roles or looking at tools that let them define their own agent topology. No API means you cannot plug Guildly into an existing CI/CD pipeline, a Jira board, or a monitoring stack. Teams that need agents embedded in broader toolchains hit a dead end and move to a framework they can integrate themselves. Beta-only availability with no self-hosted option means you cannot deploy Guildly in an air-gapped or regulated environment. Any team with data residency requirements is blocked entirely.

Bottom line

Antigravity 2.0 is paid while Guildly is free; 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 Guildly?

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

Is Antigravity 2.0 better than Guildly?

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.