{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"}],"enrichment":{"capability":"Builds and runs AI agents powered by Google's Gemini, handling the agentic loop, tool wiring, and stateful conversation management so you focus on agent behavior rather than infrastructure.","skillfed_tags":["gemini-agents","agentic-ai","mcp-integration"],"use_cases":["Build a code analysis agent that reads repository files and documents, then streams architectural recommendations.","Create an interactive assistant that accepts user queries and streams real-time responses with visible reasoning steps.","Wire custom Python functions as tools so an agent can query databases, call APIs, or execute system commands autonomously.","Connect MCP servers to expose external capabilities (e.g., file system tools, web search) to the agent without custom integration code.","Deploy a read-only agent for document analysis or Q&A over PDFs and images without enabling write capabilities."],"what_it_does":"Google Antigravity SDK is a Python framework for building AI agents that run on Google's Gemini models. It abstracts away the complexity of managing the agentic loop\u2014the iterative cycle of reasoning, tool calling, and response generation\u2014so you can define agent behavior through system instructions, custom tools, and policies without managing connection lifecycle or state manually.\n\nThe SDK provides both high-level convenience (the `Agent` class with async context manager) and lower-level control (direct `Conversation` and `ConnectionStrategy` APIs). It supports multimodal input (images, videos, audio, documents), custom Python functions as tools, integration with Model Context Protocol (MCP) servers, streaming responses and internal reasoning, and policy-based behavior control. It works with both Gemini API and Gemini Enterprise Agent Platform (formerly Vertex AI) via Application Default Credentials.","worth_installing":"Yes, with conditions. The SDK is actively maintained (released 1 day ago), permissively licensed, and solves a real problem\u2014abstracting agentic loop complexity. However, it is in Alpha status, depends on 7 runtime libraries, requires Python 3.10+, and mandates installation from PyPI due to compiled binaries. Install if you are building Gemini-powered agents and can tolerate early-stage API changes; avoid if you need production stability guarantees or prefer lightweight agent frameworks."},"id":"google-antigravity","links":{"html":"https://skillfed.io/packages/google-antigravity","md":"https://skillfed.io/packages/google-antigravity.md","pypi":"https://pypi.org/project/google-antigravity/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"google-antigravity","python_support":"supports_current","summary":"Google Antigravity SDK for building AI agents"},"popularity":{"monthly_downloads":386789,"position":7049,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.12"}