Gemma 4 Runs Locally On-Device in the Antigravity SDK

Melvin Vivas · X video post · 2026-09-25 · Open on X

Topics: AI Agents, Tool Use & MCP, AI Dev Tools & Productivity, LLMOps, Deployment & Monitoring · Level: intermediate

Summary

Gemma 4 now runs locally, on-device, inside the Antigravity SDK, powered by LiteRT. You can build fully local or hybrid multi-agent workflows that pair cloud models with a team of Gemma 4 agents. This lets you audit, patch and test code with full data privacy and no API fees.

Key points

• The Antigravity SDK now supports Gemma 4 running on your own device.
• LiteRT powers the on-device inference.
• You can build fully local or hybrid multi-agent workflows that combine cloud models with local Gemma 4 agents.
• Possible uses are auditing, patching and testing code with total data privacy and zero API fees.

Resources mentioned

• Antigravity SDK · tool · antigravity.google · free
  Google's SDK for building agent workflows, now able to run Gemma 4 locally.
• Gemma 4 · tool · ai.google.dev · free
  Google's family of open-weight models in several sizes, built to run on devices and offline, with multimodal and agentic abilities, and open to fine-tuning.
  Also in: On-Device AI: Running Gemma 4 E2B Offline on an iPhone with LiteRT (Melvin Vivas on X · notes), Running Gemma 4 Models Offline on an iPhone (Melvin Vivas on X · notes), Fine-tuning Gemma4-E2B on your own tweet style with Unsloth (Melvin Vivas on X · notes), Running Gemma4-E2B tool calling locally on an iPhone (Melvin Vivas on X · notes) and 25 more
• LiteRT · tool · ai.google.dev · free
  Google's on-device runtime (formerly TensorFlow Lite) for running ML models and LLMs on mobile and edge devices.
  Also in: On-Device AI: Running Gemma 4 E2B Offline on an iPhone with LiteRT (Melvin Vivas on X · notes), LiteRT: Google's on-device AI runtime (Melvin Vivas on X · notes)

Try this

• Try running Gemma 4 locally through the Antigravity SDK.
• Build a hybrid multi-agent workflow where local Gemma 4 agents audit, patch and test code privately, coordinated by a cloud model.