Smoke Monkey vs Google Antigravity
AI-native agent IDEUpdated: October 2026

Google Antigravity Alternative: Free Model-Neutral Agent + Canvas (2026)

Google Antigravity rode 2026 hype to roughly 16% adoption with a slick agent-first IDE, but it is Gemini-locked and subscription-gated. Smoke Monkey Harness is **model-neutral** — Ollama, GPT, Anthropic, Groq, and DeepSeek, with Gemini as just one option — and it adds the Smoke Monkey Canvas for running parallel agents visually, all free and MIT.

Comparative Benchmark: Smoke Monkey Harness TypeScript vs Google Antigravity
Verified for Node.js 18+ & Bun100% MIT Open Source
The Executive Verdict (Quick Answer)

Why choose Smoke Monkey over Google Antigravity? Antigravity is a compelling Gemini-first IDE if you are all-in on Google. If you want model freedom, local execution, and an embeddable runtime with a multi-agent Canvas, Smoke Monkey Harness is the open, provider-neutral alternative.

Why Developers Switch from Google Antigravity to Smoke Monkey

Model-Neutral by Design: Antigravity is Gemini-centric; Smoke Monkey runs Ollama, GPT, Anthropic, Groq, DeepSeek, Gemini — or several at once.

No Subscription Gate: Antigravity is tied to a Google subscription; Smoke Monkey Harness is free under MIT with no seat fee.

Local & Air-Gapped: Run the whole loop on local weights; Antigravity requires Google's cloud models.

Embeddable + Headless: Import the harness into servers and CI; Antigravity lives only inside its editor.

Parallel Agents on a Canvas: Orchestrate swarms with `npx @smoke-monkey/canvas start` instead of one IDE session.

Detailed Feature-by-Feature Matrix

Direct side-by-side comparison of core runtime capabilities and architectural trade-offs.

CapabilitySmoke Monkey HarnessGoogle Antigravity
Model Support✅ 18 providers: Ollama, GPT, Anthropic, Groq, DeepSeek, Gemini❌ Gemini-centric
Pricing & Licensing✅ Free MIT❌ Google subscription required
Local / Offline Models✅ Ollama, fully air-gapped❌ Cloud Gemini only
Agent Orchestration✅ Visual Canvas swarms⚠️ In-IDE agent manager
Embed / Headless✅ Import in any Node runtime❌ IDE only
Autonomous State Machine✅ Deterministic 6-phase loop✅ Agentic IDE loop
MCP Support✅ Client + server (stdio & HTTP)✅ MCP client
Editor Integration & UI⚠️ Bring your own editor + embeddable React UI✅ Polished built-in IDE surface

Code Implementation Comparison

Model-Neutral Agent with Fallback vs a Gemini-Locked IDE

Smoke Monkey (TypeScript)Zero Dependencies
antigravity-free-agent.tstypescript
import { createAgent } from 'smoke-monkey-harness';
// Model-neutral: swap any provider without changing your code
const agent = createAgent({
provider: 'gemini',
model: 'gemini-2.5-pro',
workspacePath: process.cwd(),
fallback: { provider: 'ollama', model: 'qwen2.5-coder:14b' },
permissions: { run_command: 'ask', write_file: 'allow' },
});
await agent.run('Refactor the billing service and verify tests');
// Then orchestrate parallel agents visually:
// npx @smoke-monkey/canvas start
Google AntigravityGemini-Centric
antigravity-ide.txttext
# Google Antigravity is an AI-native agent IDE built around
# Gemini. The agent surface is:
# - Tied to Gemini models and Google's cloud
# - Gated behind a Google subscription
# - Only available inside the Antigravity editor
#
# There is no TypeScript SDK, no local Ollama, no embeddable
# runtime, and no way to run an agent swarm outside the IDE.
Architecture Note: Antigravity packages Gemini into a single editor. Smoke Monkey Harness makes the agent a portable object: model-neutral, locally runnable, embeddable, and orchestratable on the Canvas.
Video Guides

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The Cost of Single-Model Lock-In

Tying your whole agent workflow to one vendor means every price change, rate limit, or model retirement is your problem. Model-neutrality is insurance: with Smoke Monkey Harness you can route a planning step to Gemini, heavy edits to a local Qwen model, and verification to a cheap fast model — from one runtime. See how this works in our guide to multi-provider agent APIs.

Run Gemini 2.5 and Fall Back to Local Instantly

Antigravity makes you choose Google. Smoke Monkey lets you keep Gemini as your frontier brain while guaranteeing an offline path. The snippet below configures Gemini with an automatic Ollama fallback, then hands the swarm to the multi-agent canvas.

A Model-Neutral Agent in TypeScript

Notice the entire provider swap is a single string. Tool logic, the loop, and permissions stay identical:

fallback-agent.tstypescript
import { createAgent } from 'smoke-monkey-harness';
const agent = createAgent({
provider: 'gemini',
model: 'gemini-2.5-flash',
workspacePath: process.cwd(),
fallback: { provider: 'ollama', model: 'gemma-3:8b' },
permissions: { run_command: 'ask', write_file: 'allow' },
});
const result = await agent.run('Fix the failing auth tests');
console.log(result.status);
Frequently Asked Questions

Questions Developers Ask About Google Antigravity Alternatives

Q:Is Smoke Monkey Harness a free alternative to Google Antigravity?

Yes, for agentic development. Antigravity is a Gemini-locked IDE with a subscription. Smoke Monkey Harness is a free, MIT runtime that is model-neutral and works with Gemini or any other provider.

Q:Can Smoke Monkey use Gemini models like Antigravity?

Yes. Set provider: "gemini" with a model such as gemini-2.5-pro, or mix Gemini with Claude, OpenAI, Groq, DeepSeek, or local Ollama weights in the same runtime.

Q:Does Smoke Monkey lock me into a single model?

No. It supports 18 providers and lets you configure per-agent models with automatic fallback, so you are never tied to one vendor.

Q:Can I run multiple agents at once?

Yes. The Smoke Monkey Canvas is a free, self-hosted visual multi-agent OS. Start it with `npx @smoke-monkey/canvas start` and run parallel agents on one canvas.

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Switch to Smoke Monkey Harness Today

Build autonomous coding agents with zero runtime dependencies, deterministic 6-phase loops, and Model Context Protocol (MCP) in pure TypeScript.

npm install smoke-monkey-harness