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antigravity-sdk-python MCP Server

google-antigravity/antigravity-sdk-python

Score: 90.5 Rank #315 Agent Framework
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A Python library for building AI agents that leverage the full power of Google Antigravity.

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Overview

google-antigravity/antigravity-sdk-python is a Python tool licensed under Apache-2.0. A Python library for building AI agents that leverage the full power of Google Antigravity. Topics: ai-agents, antigravity, gemini, gemini-api, google, llm-agents, mcp, python-sdk, skills.

Ranked #315 out of 24840 indexed tools.

In the top 2% of all indexed tools.

Has 3,514 GitHub stars.

Has 13 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0
ai-agentsantigravitygeminigemini-apigooglellm-agentsmcppython-sdkskills

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 3,514

3,514 stars → well-known project

Freshness 25% 2d ago

Last commit 2d ago → actively maintained

Issue Health 25% 80%

140/174 issues closed → responsive maintainer

Contributors 10% 13

13 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 1,388
Description Good
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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From the README

# 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

```sh
pip install google-antigravity
```

> [!IMPORTANT]
> The Google Antigravity SDK relies on a compiled runtime binary that is
> included in the platform-specific wheels published to
> [PyPI](https://pypi.org/project/google-antigravity/). **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/`](examples/), such as the
`hello_world` example with:

```sh
export GEMINI_API_KEY="your_api_key_here"
python ./examples/getting_started/hello_world.py
```
## Gemini Enterprise Agent Platform (formerly Vertex AI)

To use the S
Read full README on GitHub →

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