by fastclaw-ai · Codex Skill · ★ 297
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ClawHost Kubernetes-native platform for managing and orchestrating OpenClaw bot instances. Provides a RESTful API to create, deploy, and manage AI agent bots in a multi-tenant environment. Features Bot Lifecycle - Create, start, stop, restart, upgrade, and delete bot instances Kubernetes Native - Each bot runs as an isolated Pod with its own Service Multi-tenant - App-level isolation with per-user bot ownership Skills - Dynamically manage skills for running bots IM Channels - Connect bots to Telegram, Slack, Discord, Teams, LINE, Feishu, etc. Device Pairing - Approve and manage device access with auto-approval Model Providers - Configure multiple AI providers (Anthropic, OpenAI, MiniMax, etc.) Proxy - HTTP and WebSocket proxy to bot instances, with subdomain routing Architecture ┌────────┐ ┌───────────────────────┐ ┌─────────────────────┐ │ Client │──────▶│ ClawHost │──────▶│ K8s Cluster │ └────────┘ │ │ │ │ │ │ ┌─────────┐ ┌──────┐ │ │ ┌───────────────┐ │ │ Subdomain │ │ Bot API │ │Admin │ │ K8s │ │ OpenClaw Pod │ │ │ Routing │ │ │ │ API │ │ API │ │ │ │ └───────────▶│ └─────────┘ └──────┘ │◀────▶│ │ Gateway │ │ │ ┌──────────────────┐ │ │ │ IM Channels │ │ │ │ Proxy (HTTP/WS)
| Stars | 297 |
| Forks | 50 |
| Language | Go |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 50.23/100 |
| Last Updated | 2026-03-25 |
| Created | 2026-01-30 |
| Platforms | go |
| Est. Tokens | ~53k |
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clawhost is openclaw hosting service. It is categorized as a Codex Skill with 297 GitHub stars.
clawhost is primarily written in Go. It covers topics such as clawhost, cloud-openclaw, openclaw.
You can find installation instructions and usage details in the clawhost GitHub repository at github.com/fastclaw-ai/clawhost. The project has 297 stars and 50 forks, indicating an active community.
clawhost is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to clawhost on Agent Skills Hub include clawhost. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.