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JackHamr vs Google Antigravity
Google Antigravity is Google's agent-first IDE: agents that plan, build and verify work in your editor, supervised from an Agent Manager, powered by Gemini models and Google AI plans. JackHamr is your AI dev team: named specialist agents, each with its own large cloud machine, working through approval-gated workflows on your code and on the jobs around it. Here is an honest look at where each one is stronger.
Updated October 20, 2026. Antigravity details from Google's published documentation and plans pages.
At a glance
What it is
JackHamr
Your AI dev team. Named specialist agents run the full delivery pipeline, each on a cloud machine the platform hosts.
Google Antigravity
An agent-first IDE from Google: agents plan, write and verify work in your editor, with an Agent Manager to supervise many agents, browser control, artifacts and a CLI. Powered by Gemini models.
Who it is for
JackHamr
Teams with real codebases and real jobs to hand off: engineering, research, marketing, and ops.
Google Antigravity
Individual developers and teams that live in the editor and want agents supervised from a familiar IDE surface. Teams ride Gemini Enterprise on Google Cloud terms.
Where the work runs
JackHamr
A persistent cloud machine per agent: up to 16 cores, 64 GB RAM, Docker. You can open its VS Code, terminal, or browser any time.
Google Antigravity
On your machine, in the IDE, with sandboxed execution and browser control for verification. Sessions are yours; there is no hosted machine per agent.
Your existing code
JackHamr
Works on your GitHub repos on branches, with SSH key and token fallbacks when an org blocks OAuth apps, and opens pull requests.
Google Antigravity
Works on your local repos in the editor; agent work is reviewed as artifacts and diffs. Git integration follows your editor workflow.
Many agents at once
JackHamr
Boards fan tasks out to as many agents or clones as you like, in queue, clone, or distribute mode.
Google Antigravity
Subagents and teamwork orchestrate parallel agents inside one task, supervised from the Agent Manager.
Process and approvals
JackHamr
Workflows with stages (spec, plan, build, QA, code review, product review) and approval gates that queue decisions for you.
Google Antigravity
Permission modes and a sandbox decide what runs without asking; artifacts (implementation plans, walkthroughs, screenshots) are the review surface.
Beyond code
JackHamr
Agents can own a job in research, marketing, or ops: plan their own work, check in on a schedule, and ask before anything you flagged.
Google Antigravity
Built for software. The editor, browser and terminal cover coding work; recurring non-engineering jobs are not the design target.
Where you hand off work
JackHamr
The web app, desktop and phone apps, Slack, and ChatGPT, Claude or Cursor over MCP.
Google Antigravity
The IDE, desktop app, CLI, IDE extensions (VS Code, JetBrains, Zed, Xcode, Visual Studio) and Remote Control from any browser.
Models
JackHamr
Any model: ours, your own OpenAI or Anthropic keys, or your Claude Code or Codex subscription as the brain.
Google Antigravity
Gemini models, with third-party model access on Google AI Ultra. No bring-your-own-key or endpoint; quota and overages run on Google AI plans.
Pricing model
JackHamr
Pay only while agents run: infrastructure at cost with an itemized bill, tokens at provider rates. Free to start, no seats.
Google Antigravity
Free tier with a meaningful weekly quota; heavier use rides Google AI Pro ($19.99/mo) or Ultra ($199.99/mo) quotas, with purchased AI credits for overage.
Where JackHamr is stronger
Antigravity puts capable agents inside the editor you already use. JackHamr gives you a standing team that works on its own machines, takes work from a board, and stops for your decisions.
- A team, not a session. Named specialist agents (spec, build, QA, review) each keep their own machine, memory and role, and you can run as many as you need from a board.
- Bigger machines that stay. Each agent gets up to 16 cores and 64 GB RAM with Docker, and keeps its files, databases and running apps between tasks.
- A process with gates. Spec, plan, build, QA and review run as separate agents, and approval gates queue the calls that need you.
- More than engineering. Agents can own a job in research, marketing or ops, plan their own work, and ask before anything you flagged.
- Pay for what runs. Infrastructure at cost and tokens at provider rates, with no seats and no weekly quota windows.
- Model freedom. Bring your own OpenAI or Anthropic keys, or plug a Claude Code or Codex subscription in as an agent's brain.
Where Antigravity is stronger
Being fair about this matters, so here is when we would point you to Antigravity on its own.
- You want the agent in your own terminal and IDE, working on your local machine.
- You need enterprise controls: SSO and SCIM, zero data retention, audit logs, data residency, or an on-premise or airgapped deployment.
- Your issues live in Linear or Jira, or your code is on GitLab or a self-hosted GitHub. JackHamr works with GitHub only today.
- You want ready-made automations for pull request review, security review, QA, triage and incident response.
- You are planning a large multi-feature project and your repository already has automated, scriptable QA for Missions to validate against.
Or use both
They fit together well. Keep Antigravity in your editor for hands-on, supervised agent work. Hand the longer jobs to a JackHamr team: features that should go through spec, build, QA and review with your approval in between, work spread across many agents from a board, and the recurring research, marketing and ops work around the code.
You can read how agents run the pipeline in The guided build workflow, and how parallel work is dispatched in Boards: a Kanban board your agents run.
Questions people ask
Is JackHamr a Google Antigravity alternative?
For teams that want a standing team of agents rather than an agent-first editor, yes. Antigravity is a strong agent-first IDE: agents plan, build and verify in your editor under Google's model quotas, supervised from the Agent Manager. JackHamr gives you named specialist agents, each with its own large cloud machine, working through approval-gated workflows from boards, on your code and on the jobs around it.
Does JackHamr work inside my editor like Antigravity?
Not the same way. Antigravity lives in your IDE and drives your local machine. JackHamr agents work on their own cloud machines, and you reach them from the web, desktop and phone apps, Slack, or an MCP client such as Claude, ChatGPT or Cursor. You can open an agent's VS Code or terminal any time, but the work does not run on your laptop.
Which models can each one use?
Antigravity runs Gemini models, with third-party model access on the Ultra plan, and no bring-your-own-key today. JackHamr is model-agnostic: use ours, bring your own OpenAI or Anthropic keys, or plug your Claude Code or Codex subscription in as an agent's brain.
How do the costs compare?
Antigravity is free at the baseline with a weekly quota; heavier agent use rides a Google AI Pro ($19.99/mo) or Ultra ($199.99/mo) plan, with purchased AI credits for overage. JackHamr charges infrastructure at cost while agents run and tokens at provider rates, itemized, with no seats and no weekly windows. If your usage is light and editor-centric, Antigravity's free tier is hard to beat; if agents run all day on real work, paying per machine-hour for dedicated capacity is the more predictable shape.
When is Antigravity the better choice?
If you want agents where you already code, inside an editor, on Google's quota-based plans, with browser control and artifacts for review, Antigravity is excellent. It is also the natural pick if your team standardizes on Gemini and Google Cloud. It is not built to host a fleet of named agents on dedicated machines that keep running jobs when you are away from the editor.
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