Picture this: you're juggling WhatsApp messages from customers, Telegram notifications from your dev team, Discord pings from your community, and Slack threads from collaborators. You wish you had a clone — someone who could handle the routine stuff across all these platforms while you focus on work that actually matters.
That's essentially what OpenClaw is. It's your AI clone, deployed in the cloud, connected to your messaging platforms, and capable of far more than just chatting.
OpenClaw is an open-source AI agent application that you deploy on a cloud server. It connects to a large language model (like DeepSeek, GPT, Claude, or Gemini) and integrates with messaging platforms (WhatsApp, Telegram, Discord, Slack, and many more). When someone sends a message, OpenClaw processes it through the LLM, optionally performs actions using its skill system, and responds — all autonomously, 24 hours a day.
It's not a chatbot builder. It's not a framework you need to code against. It's a complete, deployable application that you configure through a visual panel and an interactive wizard.
This is OpenClaw's headline feature. Out of the box, it supports:
One OpenClaw instance can serve multiple platforms simultaneously. Your AI agent maintains separate conversation contexts per channel while sharing the same model and configuration.
Unlike stateless API calls, OpenClaw maintains session memory. It remembers what you discussed earlier in the conversation and uses that context for more relevant responses. This is critical for customer service scenarios where buyers reference previous messages.
The built-in agent-browser skill (pre-installed on 2026 templates) lets the AI:
Ask your agent: "Use your browser to check the current price of Product X on Amazon" — and it will.
Skills are plugins that extend OpenClaw's capabilities beyond conversation. The Clawhub marketplace offers skills for:
Install skills through natural conversation:
# In your chat with the agent:
# "Please install a skill for me using Clawhub; its name is mail."
# The agent handles the rest.
# To manage installed skills:
# "Check which skills you have currently installed."
# "Please help me delete the mail skill."
For details: Skills Installation Guide
When deployed on a cloud server, OpenClaw can execute shell commands, manage files, and interact with the operating system. This makes it useful for:
# Example interaction via Telegram:
# You: "Check how much disk space is left on the server"
# OpenClaw: [executes df -h, reports results]
# You: "Clean up log files older than 30 days"
# OpenClaw: [executes find/rm commands, confirms cleanup]
Security warning: System access is powerful but risky. Start with skills disabled during initial setup. Never store API keys, passwords, or sensitive data in files accessible to the agent. Use the Lighthouse console's secure configuration panel.
OpenClaw runs as a persistent background service:
loginctl enable-linger $(whoami) && export XDG_RUNTIME_DIR=/run/user/$(id -u)
clawdbot daemon install
clawdbot daemon start
clawdbot daemon status
Once the daemon is active, you can close your terminal, shut your laptop, and go on vacation. The agent keeps running.
On Tencent Cloud Lighthouse, you configure OpenClaw through a web-based panel in the console — no CLI required for basic setup:
OpenClaw isn't locked to one AI provider. Supported models include:
Full model configuration guide: Custom Model Tutorial
The fastest path is through Tencent Cloud Lighthouse, which offers a one-click deployment template with everything pre-configured.
Go to the Tencent Cloud Lighthouse Special Offer:
For the complete setup walkthrough: One-Click Deployment Guide
OpenClaw is actively developed, with new skills, model integrations, and platform support being added regularly. The Feature Update Log tracks the latest changes.
Start your journey at the Tencent Cloud Lighthouse Special Offer:
It's not just another AI tool. It's the AI tool that connects all the others.