antigravity-sdk-python is by google-antigravity — not by us.
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Indexed Oct 5, 2026 · 3,634 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
Component · for humans & their agents
antigravity-sdk-python
unclaimed listingactively maintainedFreeApache-2.0
A Python library for building AI agents that leverage the full power of Google Antigravity.
by Open Source Community · New publisher
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google-antigravity/antigravity-sdk-python is an open-source project by google-antigravity: A Python library for building AI agents that leverage the full power of Google Antigravity.. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/google-antigravity/antigravity-sdk-python
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
Google Antigravity SDK
The Google Antigravity SDK is a Python SDK for building AI agents powered by Antigravity and Gemini. It provides a secure, scalable, and stateful infrastructure layer that abstracts the agentic loop, letting you focus on what your agent does rather than how it runs.
Installation
> The Google Antigravity SDK relies on a compiled runtime binary that is > included in the platform-specific wheels published to > PyPI. Cloning this > repository alone is not sufficient to run the SDK. Always install from > PyPI with pip install google-antigravity to obtain the binary.
Quickstart
Get started by running one of the examples/, such as the helloworld example with:
Gemini Enterprise Agent Platform (formerly Vertex AI)
To use the SDK with Gemini Enterprise Agent Platform (formerly Vertex AI), the SDK supports two authentication modes:
1. Express Mode (API Key)
For fast setup without requiring Google Cloud projects, regional configuration, or Application Default Credentials (ADC), provide an API key with vertex=True:
2. Standard Mode (Project & Location with ADC)
For enterprise deployments routing to regional endpoints, configure LocalAgentConfig with vertex=True, project, and location. By default, this mode authenticates via Application Default Credentials (ADC).
Alternatively, you can leave these fields unset in LocalAgentConfig and export the environment variables instead:
Explicit kwargs always take precedence over env vars.
Ensure you have authenticated locally before running the agent in Standard Mode:
See vertex.py for a complete example.
Concepts
Simple Agent
The Agent class is the easiest way to get started. It manages the full lifecycle — binary discovery, tool wiring, hook registration, and policy defaults — behind a…
Preview
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01Capabilities
Does
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02Requirements & stack
Depends on
No declared dependencies
Credentials needed
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Stack
03Community
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Issues 0
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04Trust Passport
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Oct 5, 2026 | Indexed listing — see the upstream repository for real release history. |