google-antigravity/antigravity-sdk-python

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

3185 stars · 1273 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python SDK for building AI agents powered by Google Antigravity and Gemini, abstracting the agentic loop behind a stateful, secure infrastructure layer. It ships as platform-specific wheels with a compiled runtime binary and supports both Gemini API keys and Vertex AI (Gemini Enterprise Agent Platform) authentication.

Use cases

• build ai agents in python with gemini
• create a chatbot backed by google gemini
• run agents on vertex ai with gcp credentials
• stream llm agent responses in real time
• wire mcp tools into a gemini agent
• prototype an agent with system instructions

When to choose

• you want a managed agentic loop instead of hand-rolling tool wiring and lifecycle
• you are on Google's stack (Gemini API or Vertex AI) and prefer a first-party SDK
• you need streaming agent output for console or UI apps

When to avoid

• you need a fully open, inspectable runtime - the core is a compiled binary in the wheel
• you want provider-agnostic agents across non-Google models
• you need to run from source without installing from PyPI

Facets

library · maturity active

agent-framework llm-inference mcp sdk large-language-models developer-tools python cross-platform gemini google vertex-ai agentic-loop python-sdk ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-antigravity/antigravity-sdk-python")