ClawSimple

What is ClawSimple?

ClawSimple is managed hosting for OpenClaw setups specifically aimed at Telegram bots. It’s designed to help you get an OpenClaw server running and kept operational without handling the day-to-day operational work yourself.

The core purpose is to launch OpenClaw from a managed flow—spin up a clean server, run the official installer, and maintain updates/relaunch/recovery—while also supporting common workflow needs like using your own AI account and running multiple agents on a single server.

Key Features

• Managed OpenClaw hosting with automated setup and operations: ClawSimple handles server provisioning, running the official installer, and continuing to manage updates and relaunches.
• Option to use your own AI account (BYOK) on every paid plan: you can connect your own AI provider/subscription and switch later in Telegram.
• Official Telegram bot support: an included Telegram bot supports actions such as requesting upgrades, switching models, and troubleshooting without requiring direct server access.
• Secure runtime defaults for shared isolation: shared runs use Docker-isolated environments with resource limits; dedicated plans are positioned to keep operational defaults cleaner.
• Multiple agents per server: you can run multiple bots/agents under one managed server, with each agent maintaining its own identity, Telegram token, and AI model.

How to Use ClawSimple

1. Start by creating an OpenClaw server through ClawSimple’s flow (the site shows options like Starter, Private server tiers, and selecting Telegram credentials).
2. Choose how you want to pay for AI on first deploy—either connect your own AI account (BYOK) or use included AI usage on the relevant private-plan tiers.
3. Complete the setup and start using OpenClaw from Telegram, including switching models via Telegram commands (e.g., the /models command) when applicable.

Use Cases

• Email-focused assistant workflows: draft replies and follow-ups, then support recurring email tasks from a managed Telegram bot interface.
• Developer operations automation: label GitHub issues and open pull requests for repetitive fixes, using one or more agents tied to the same server.
• Research and maintenance: generate weekly maintainer digests or daily AI briefings from ongoing notes and inputs while keeping the OpenClaw runtime managed.
• Content and publishing: turn repository content into longer-form materials (e.g., a book or course) or create long-form content from notes.
• Support and internal triage: answer support tickets and translate messages in real time to reduce manual back-and-forth.

FAQ

• Can I use my own AI account with ClawSimple? Yes. The page states that you can use your own AI account on every paid plan (BYOK). It also mentions that you can add or change providers later in the Profile section.

• How do I switch models after setup? The site notes that you can switch models in Telegram via the /models command.

• Do I need to handle server administration or SSH? ClawSimple’s positioning is that it manages setup, updates, relaunches, and day-to-day operations so you don’t have to perform those tasks via terminal/SSH.

• Can I run multiple Telegram bots/agents on one server? Yes. ClawSimple supports multiple agents per server, where each agent has its own identity, Telegram token, and AI model.

• Is OpenClaw vendor-locked if I use ClawSimple? The page states that OpenClaw’s core is open-source (MIT), which implies you can audit or self-host the core later and avoid vendor lock-in. It does not describe any specific lock-in policy for ClawSimple-managed infrastructure.

Alternatives

• Self-host OpenClaw on your own infrastructure: instead of managed hosting, you’d handle server provisioning, installer runs, updates, and recovery yourself.
• Manage the OpenClaw runtime with your own deployment tooling: rather than using ClawSimple’s managed flow, you could deploy OpenClaw via containers/automation and build your own Telegram control/troubleshooting workflow.
• Use a different managed Telegram bot hosting approach for AI agents: if your main requirement is Telegram-first bot operations, you could choose a platform that focuses on deploying AI agents, but the workflow and model/provider switching would depend on the platform’s capabilities.
• Run a single-agent setup per server: if multiple agents per server isn’t required, you could separate each bot into its own deployment to simplify boundaries, at the cost of more server instances.