爪跑 – 秒速部署和管理AI智能体
ClawRun – Deploy and manage AI agents in seconds

原始链接: https://github.com/clawrun-sh/clawrun

## ClawRun:轻松部署和管理AI代理 ClawRun简化了开源AI代理的部署和管理。它提供了一个托管层,具有安全、持久的沙箱(目前为Vercel,并计划增加更多选项),可以自动处理代理的生命周期——从启动到空闲时暂停,以及在收到消息时唤醒。 主要功能包括一键部署、支持流行的消息传递渠道(Telegram、Discord、Slack、WhatsApp等)、用于交互的Web仪表盘和CLI,以及具有预算执行的强大成本跟踪功能。 ClawRun的可插拔架构允许代理、提供商和渠道的灵活性。一个引导式部署向导简化了设置过程,涵盖LLM选择、渠道配置和安全策略。 了解更多信息并开始使用,请访问[clawrun.sh](clawrun.sh),GitHub上有全面的文档、示例和社区论坛。

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原文

ClawRun

ClawRun is a hosting and lifecycle layer for open-source AI agents. It deploys agents into secure sandboxes (Vercel Sandbox, with more providers coming) and manages their full lifecycle, including startup, heartbeat keep-alive, snapshot/resume, and wake-on-message.

Learn more at clawrun.sh.

  • 🚀 Deploy any supported AI agent with a single command
  • 💤 Persistent sandboxes that sleep when idle and wake on message
  • 💬 Connect messaging channels like Telegram, Discord, Slack, WhatsApp, and more
  • 🖥️ Web dashboard and CLI for real-time chat and management
  • 💰 Cost tracking and budget enforcement across all channels
  • 🔌 Pluggable architecture for agents, providers, and channels

The deploy wizard walks you through:

  1. Choosing an LLM provider and model
  2. Configuring messaging channels
  3. Setting cost limits and network policy
  4. Deploying to your chosen provider (e.g. Vercel)

Once deployed, chat with your agent from the terminal:

clawrun agent my-instance

Or open the web dashboard:

For full setup guides, framework examples, and configuration reference, see the docs.

Report issues and suggest improvements on GitHub: Issues.

Join the community: Discussions.

Apache-2.0

联系我们 contact @ memedata.com