# RayAI **Repository Path**: mirrors/RayAI ## Basic Information - **Project Name**: RayAI - **Description**: RayAI 是一个构建在 Ray 之上的平台或基础设施项目,专注于让 AI agent(多智能体系统)和工具并行执行更简单、更可靠 - **Primary Language**: Python - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: https://www.oschina.net/p/rayai - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-01-04 - **Last Updated**: 2026-02-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README




Deploy AI agents to sandboxed cloud containers. One command, no infrastructure config.

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## Features - **Sandboxed execution** — Every agent runs in a gVisor-isolated container with its own compute, filesystem, and network - **Persistent workspace** — Storage that survives restarts. Agents pick up where they left off - **Encrypted secrets** — API keys are encrypted and injected at runtime. Values are never exposed - **Real-time streaming** — Stream tokens and tool calls as they happen - **Sub-second cold starts** — Pre-provisioned containers mean your agent starts almost instantly - **Built for Claude Agent SDK** — Write with the [Claude Agent SDK](https://platform.claude.com/docs/en/agent-sdk/overview), deploy with Superserve ## Quick Start ```bash pip install superserve superserve login ``` Initialize from the root of your project where your dependencies and agent code live: ```bash superserve init ``` This creates a `superserve.yaml`: ```yaml name: my-agent command: python main.py # edit to match your agent's start command ``` Deploy: ```bash superserve deploy ``` Set your secrets: ```bash superserve secrets set my-agent ANTHROPIC_API_KEY=sk-ant-... ``` Run your agent: ```bash superserve run my-agent ``` ``` You > What is the capital of France? Agent > The capital of France is Paris. Completed in 1.2s You > And what's its population? Agent > Paris has approximately 2.1 million people in the city proper. Completed in 0.8s ``` ## CLI Reference | Command | Description | |---------|-------------| | `superserve login` | Authenticate with Superserve | | `superserve init` | Generate `superserve.yaml` for your project | | `superserve deploy` | Deploy your agent | | `superserve run AGENT` | Run an interactive session | | `superserve secrets set AGENT KEY=VALUE` | Set encrypted environment variables | | `superserve secrets list AGENT` | List secret key names | | `superserve agents list` | List deployed agents | | `superserve agents get AGENT` | Get agent details | | `superserve agents delete AGENT` | Delete an agent | | `superserve sessions list` | List sessions | See the full [CLI Reference](https://docs.superserve.ai/cli) for all flags and options. ## Requirements - Python 3.12+ - A [Superserve account](https://console.superserve.ai) ## Contributing Contributions are welcome! See [CONTRIBUTING.md](https://github.com/superserve-ai/superserve/blob/main/CONTRIBUTING.md) for guidelines. ## License This project is licensed under the Apache License 2.0 - see the [LICENSE](https://github.com/superserve-ai/superserve/blob/main/LICENSE) file for details. --- If you find Superserve useful, please consider giving us a star!