One-click deployment
Deploy an OpenClaw AI assistant through a guided flow that starts with channel selection and model selection, then moves to deployment.
CloudClaw
CloudClaw is a deployment service for launching an OpenClaw AI assistant on Telegram with a short guided setup flow. It supports model selection from Claude, GPT, Gemini, and OpenRouter-backed options while avoiding manual server and SSH setup.
Overview
CloudClaw is a deployment service for OpenClaw AI agents, with a workflow centered on launching an assistant to Telegram. The homepage frames it as a way to avoid server setup, SSH, and manual DevOps work while still getting a 24/7 AI assistant running quickly.
The product lets you choose a channel and a model, then deploy the agent through a short guided process. The source specifically names Telegram as the supported channel shown for launch, and lists Claude, GPT, Gemini, and OpenRouter free models as available options.
Core features
Telegram channel support
Connect an agent to Telegram, which is the channel shown as ready for deployment on the site.
Multiple model providers
Choose between Claude, GPT, Gemini, or OpenRouter free models depending on the behavior and model access you want.
OpenRouter model access
Use OpenRouter with a single API key to access 300+ models from different providers, with key entry happening during deployment.
Managed setup workflow
Avoid provisioning a cloud server, generating SSH keys, or configuring an environment manually; the platform sets up the agent environment for you.
Fast launch flow
Follow a short deployment path that the site describes as taking under 60 seconds in normal use.
Practical use cases
Launch a Telegram assistant quickly
Set up a Telegram-based OpenClaw assistant without renting infrastructure or editing server configuration files.
Match the model to the job
Choose between Anthropic, OpenAI, Google, or OpenRouter-backed models when you want a specific model behavior for the agent.
Skip hands-on infrastructure work
Use the managed deployment flow when you want to avoid SSH, environment variables, and other manual setup tasks.
Access a broad model catalog through OpenRouter
Start with a minimal deployment and add your own OpenRouter API key when you want access to a larger model catalog.
Pros and Cons
Pros
- Removes the need to provision servers or manage SSH for an OpenClaw deployment.
- Supports a short setup flow that the site says can finish in under 60 seconds.
- Offers several model choices, including Claude, GPT, Gemini, and OpenRouter free models.
- Lets users add their own OpenRouter API key for broader model access.
Cons
- The supplied sources only clearly show Telegram as the deployable channel; Discord and WhatsApp are marked as coming soon.
- The pricing page in the supplied evidence returns a 404, so plan details are not available here.
FAQ
What channels does CloudClaw support?
CloudClaw is set up to deploy an OpenClaw AI assistant on Telegram. The source also shows Discord and WhatsApp as coming soon, but Telegram is the supported channel shown for deployment.
Which AI models can power the agent?
The page lists Claude from Anthropic, GPT from OpenAI, Gemini from Google, and OpenRouter free models. It says you pick a model during deployment and can add your own OpenRouter API key in the next step.
How fast is setup?
The product is presented as a one-click deployment flow: choose a channel, pick a model, connect Telegram, and deploy. The site says this can be done in under 60 seconds.
Do I need to manage servers or SSH?
No. The page explicitly says there are no servers, SSH, or DevOps required because the environment is already set up for deployment.
What does CloudClaw cost?
The pricing page returned a 404 in the supplied sources, so the provided evidence does not confirm pricing plans or billing details.
Quick Facts
- Category
- AI deployment tool
- Primary channel
- Telegram
- Model options
- Claude, GPT, Gemini, OpenRouter free models
- Workflow
- Pick a model, connect Telegram, deploy
- Domain
- cloudclaw.tech
- Pricing page
- Returns 404 in supplied evidence
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