OpenClaw Hosting on own server: offers in comparison
Are you looking for the perfect OpenClaw hosting? Here you will find special offers where you can get a VPS for running the open-source artificial intelligence software OpenClaw (formerly known as Moltbot and Clawdbot):
Storage Space
RAM
Number of vCores
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Save 36% on VPS
VPS L Save 36 % £10.80 /month for 24 months incl. VAT NO Setup nor...
Storage Space
RAM
Number of vCores
-
Save 36% on VPS
VPS L Save 36 % £10.80 /month for 24 months incl. VAT NO Setup nor...
Storage Space
RAM
Number of vCores
Now post an individual tender for free & without obligation and receive offers in the shortest possible time.
Start tenderOpenClaw Hosting on Your Own Server: Providers Compared
Do you want to host OpenClaw yourself on your own VPS (Virtual Private Server) to have maximum control, data privacy, and customisation? In our comparison, you will find the best hosting providers offering affordable VPS hosting for your OpenClaw project.
What is OpenClaw?
OpenClaw (formerly known as Moltbot and Clawdbot) is an open-source AI agent designed to perform tasks autonomously rather than merely responding to individual commands. At its core, OpenClaw combines large language models with an agent logic that enables it to understand objectives, plan intermediate steps, and execute them independently. For example, OpenClaw can research information, compose news articles, interact with APIs and services, or automate recurring processes without manual initiation at each step.
A key feature of OpenClaw is its open and flexible architecture. As an open-source project, the software can be customised, extended, and integrated into existing systems to suit specific requirements. Developers and organisations can configure OpenClaw so that the agent works with various tools, platforms, and services — such as messaging platforms, internal systems, databases, or web services.
Furthermore, OpenClaw emphasises control and transparency. Unlike purely cloud-based solutions, it can be operated on your own server, ensuring that data, configurations, and processes remain within your infrastructure. This makes the solution particularly attractive for projects where data protection, customisation, and integration into existing workflows are important. OpenClaw is suitable for both experimental AI projects and productive automation and assistant systems in professional environments.
What can OpenClaw be used for on your own server?
OpenClaw on a private server is primarily suitable as an automated AI agent for recurring tasks and complex workflows. The agent can research information, generate or summarise texts, analyse data, and interact with external services or internal systems. This allows processes to be automated that would otherwise require manual effort or span multiple tools.
An important area of application is the integration into existing IT and business processes. On your own server, OpenClaw can, for example, be connected with internal APIs, databases, ticket systems, messaging services, or monitoring tools. This turns the AI agent into a kind of digital assistant that independently prepares tasks, executes them, and documents results – for example, in support, project management, or content creation.
Not least, the aspect of data sovereignty and customisation plays a significant role. When operated on your own infrastructure, sensitive data remains within your own system, and behaviour, rules, as well as connected tools, can be individually configured. Therefore, hosting your own OpenClaw setup is particularly suitable for companies, developers, and demanding users who wish to utilise AI-powered automation without relinquishing control, security, or flexibility to external platforms.
What requirements does OpenClaw set for the server?
OpenClaw is fundamentally designed to be flexible and scalable – from small tests to production environments. In practice, OpenClaw hosting is often container-based (e.g., via Docker), which is why a Linux VPS with Docker support is the most common foundation. For simple scenarios, a few CPU cores and 4–8 GB RAM are sufficient; for more complex agents, multiple simultaneous tasks, or local AI models, more memory and computing power are recommended accordingly.
The key factor for performance is primarily where the AI model runs. If OpenClaw is used only as an orchestrator and accesses external APIs (e.g., cloud models), hardware requirements remain moderate. However, if local models are to be utilised, the requirements increase significantly: more RAM, fast SSD storage, and optionally GPU support are sensible or necessary to achieve acceptable response times.
Additionally, sufficient storage space should be allocated for containers, logs, configurations, and possibly model data, as well as a stable network connection for API access and integrations. Overall, OpenClaw can run on smaller VPS systems but clearly benefits from more resources and a high-performance server environment when used intensively.
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