Everything you need to know about clawrun sh clawrun deploy and manage.
[ad_1]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:
- Choosing an LLM provider and model
- Configuring messaging channels
- Setting cost limits and network policy
- Deploying to your chosen provider (e.g. Vercel)
Once deployed, chat with your agent from the terminal:
clawrun agent my-instanceOr 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
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Frequently Asked Questions
ClawRun is a hosting and lifecycle layer for open-source AI agents that deploys agents into secure sandboxes and manages their full lifecycle, including startup, heartbeat keep-alive, snapshot and resume, and wake-on-message.
A deploy wizard walks you through choosing an LLM provider and model, configuring messaging channels, setting cost limits and network policy, and deploying to your provider; then you chat with the agent from the terminal or web dashboard.
ClawRun supports messaging channels like Telegram, Discord, Slack, and WhatsApp, plus a web dashboard and CLI for real-time chat and management.
It offers cost tracking and budget enforcement across all channels, uses a pluggable architecture, and is licensed under Apache-2.0.
