One place to coordinate
The Gateway connects chat channels to agents and their execution environment.
Set a goal. Let OpenClaw connect the steps.
Deploy a self-hosted AI agent to research, use tools and assist with work through configured chat channels. TS68 Cloud Servers provide a foundation for running OpenClaw your way.
- Work through tools
- Connect chat channels
- Configure your agent
Your agent workspaceApplication illustration
A sample request
Help me research and prepare a summary for the meeting.
I will organize the work into steps, use connected tools and prepare a draft for your review.
Illustrative example; tools and actions depend on configuration.
Collect sources
Research through permitted tools
Organize information
Arrange data around the goal
Prepare for review
You check results before using them
From conversation to a sequence of actions
OpenClaw connects AI models, tools and communication channels through a Gateway. An agent can organize steps and call permitted tools to turn requests into concrete work.
Tools with a purpose
Extend capabilities with tools, skills and plugins suited to your tasks.
You set access
Choose connections, accounts and tool permissions to fit your operating needs.
Build an assistant that can work with you
Connect the right tools, choose a model and define the scope of actions.
Organize task steps
Combine user conversations with tool calls to handle multi-step requests.
Choose AI models
Configure a provider and model to match your costs, tasks and policies.
Connect channels
Use supported OpenClaw channels; some connections require plugins and separate setup.
Tools and skills
Connect a browser, terminal or integrations through permitted tools.
Control tool access
Set tool policies and access permissions before assigning agent tasks.
Separate work contexts
Organize sessions and workspaces to keep tasks in the right context.
Give your agent a clear goal
Research information
Collect sources through configured tools and prepare a summary for review.
Prepare documents
Organize information and draft content from data you permit it to access.
An assistant in chat
Interact with your agent through a channel suited to your team.
Multi-step tasks
Break requests into steps, use tools and assemble results.
Assist technical work
Research, inspect and assist operations within a permission-controlled environment.
Connect internal processes
Use plugins and integrations to assist team workflows.
Your ideas. TS68 infrastructure.
Run your application on a Cloud Server with resources, a runtime and an operating approach that fit your needs.
Resources that fit
Choose CPU, RAM and storage from published TS68 plans and reassess your selection as workloads change.
Control your environment
Manage the application, domain and connections in a server environment you configure.
Build an operating routine
Plan HTTPS, access permissions, updates and backups from the start.
Advice before choosing
Discuss tasks, users and deployment requirements with TS68 to find a suitable plan.
Choose a foundation for your next step
Find current specifications and selling prices on the Cloud Server pages. These suggestions describe workloads; check the actual resources against your requirements.
Cloud Server Linux
A good fit when you need
- 01
- Start with one agent and moderate tasks
- 02
- Connect required chat channels and tools
- 03
- Manage the Gateway yourself on Linux
Cloud Server Turbo
A good fit when you need
- 01
- More simultaneous sessions or tasks
- 02
- Tools that need more processing resources
- 03
- Scale after measuring actual workloads
TS68 provides Cloud Server infrastructure. Confirm installation support and image availability during consultation. You manage the application; licensing, AI model accounts and API charges follow their respective providers.
From server to your first assistant
From choosing a server to your first task: prepare each step and check each connection.
Choose a Cloud Server
Estimate sessions, tools and data needs; review Linux/Turbo specifications or consult TS68.
Prepare OpenClaw
Confirm images and deployment support, then install using official guidance.
Connect a model
Set up an AI provider, credentials and suitable usage limits.
Choose channels and tools
Connect a chat channel, install required plugins and limit tool permissions.
Assign a task and review
Start with a small request, review results and adjust before expanding.
Questions you may have
Beyond conversation, OpenClaw can use configured tools and integrations to carry out tasks. Its capabilities depend on the model, plugins and granted permissions.
What would you like OpenClaw to help with?
Tell TS68 what you want to build for advice on server specifications and deployment support.