Hi everyone! ![]()
I’m excited to share Gemini Antigravity Bridge, an open-source framework establishing a bidirectional bridge between Google Gemini Spark (cloud AI) and Google DeepMind Antigravity (local agentic coding IDE) via the Model Context Protocol (MCP).
PyPI: gemini-antigravity-bridge · PyPI
GitHub: GitHub - nandhakumar-murugan/gemini-antigravity-bridge: ⚡ Bridge connecting Google Gemini Spark & Cloud AI to your local machine via MCP with autonomous file creation, terminal execution, and subagent orchestration. · GitHub
License: Apache 2.0
Why We Built This: The Cloud ↔ Local Gap
Cloud models like Gemini Spark have incredible ecosystem intelligence across Google Workspace (Gmail, Drive, Calendar, Docs), but are decoupled from a developer’s local machine—unable to run local terminal commands or coding agent loops.
Meanwhile, local agentic IDEs like Google DeepMind Antigravity have full local execution power, but lack real-time connectivity to personal cloud workspaces.
Gemini Antigravity Bridge closes this loop completely.
Key Technical Capabilities (23 MCP Tools):
- Bidirectional Task Dispatch: Gemini Spark dispatches multi-step task briefs, launches local coding subagents (
run_agent_task), and tracks progress. - Cross-Agent Shared Memory: Both Gemini Spark and Antigravity synchronize through a persistent state store (
save_session_note,get_antigravity_agent_report). - Orchestrating Spark’s Connected Apps: Antigravity can command Gemini Spark to execute actions across
@Canva,@YouTube, and@Google Docs. - Production Resiliency: Zero-delay webhook ingestion (
/webhook), automated silent Windows startup, and 100% automated pytest test suite (6/6 passing).
Quick Start:
Install directly via PyPI:
pip install gemini-antigravity-bridge
gemini-bridge
