AIエージェント
server-sdk-python
The official Python SDK for building on Vapi's voice AI platform.
★ 53 スターNOASSERTION
ガイドを見る →antigravity-sdk-pythonは、google-antigravityが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: google-antigravity/antigravity-sdk-python）。GitHubスターは3,664、フォークは1,456で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月7日です。
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
The Agent class handles lifecycle, tool wiring, hook registration and policy defaults behind an async context manager.
Stream responses, reasoning/thinking deltas and strongly-typed ToolCall events without blocking.
Define custom tools and connect MCP servers to extend what agents can do.
Send mixed text and content objects — filesystem paths resolve automatically to document types.
Control agent behaviour with hooks and policies, and react to triggers.
Run agents against locally imported LiteRT-LM models by pointing at the model path.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/google-antigravity/antigravity-sdk-python.git
cd antigravity-sdk-pythonInstall the package from PyPI.
pip install google-antigravityExport a Gemini API key for express mode (or use ADC project/location for Vertex standard mode), then run the quickstart Agent example.
export GEMINI_API_KEY=your-key # see README quickstart for the agent codeIt is maintained by google-antigravity on GitHub (google-antigravity/antigravity-sdk-python), where the source, issues and releases live.
Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.
Express mode uses a Gemini API key (usage is billed by Google); standard mode routes through a Google Cloud project with ADC, and local LiteRT-LM models avoid API calls.
Compared with Google's genai SDK used directly, or frameworks like LangGraph, antigravity-sdk-python's distinguishing focus is: google's Python SDK for building AI agents on the Antigravity platform and Gemini models. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/google-antigravity/antigravity-sdk-python (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
The official Python SDK for building on Vapi's voice AI platform.
Google's code-first toolkit for building real AI agents.
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
Python library for building multimodal language agents — VLM, video and mobile, fast to prototype and ship
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
A visual all-in-one platform for building, debugging, and deploying AI agents.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — antigravity-sdk-pythonが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でantigravity-sdk-pythonとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
An open-source multimodal retrieval engine for agent pipelines.
OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.
A rigorous benchmark for LLMs acting as agents.
A token-conscious MCP server that connects AI tools to Postgres, MySQL, SQLite and more.
Build voice-based LLM agents with a modular, open-source toolkit.
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear deb…
無料でオープン — ソースコードを入手して、リポジトリにスターを付け、作り始めましょう。