I just finished setting up yet another OpenClaw instance on my Mac Mini (a breeze compared to installing OpenClaw on AWS). The setup speed has become genuinely impressive. If you want to know how to install OpenClaw with Ollama, the answer today is: less than 60 seconds. To how to install OpenClaw with Ollama, the process is now as simple as running a single command, ollama launch. This change has simplified how we handle local AI assistants. To how to install OpenClaw with Ollama, you no longer need an engineering degree. You just need one command and a Telegram account. After testing this procedure on multiple machines, here are the exact steps to get your agent running without losing your mind over config files.
Starting your personal AI journey
If you want to know how to install OpenClaw with Ollama, you must start with the right tools. Ollama provides the power, and OpenClaw provides the intelligence. Together, they create a private, local assistant that works for you 24/7. This combination is the best way to get started with AI agents in 2026. The new command makes it easy for everyone to try. No more complex scripts or long tutorials. Just one command and you are ready to go. Let's look at why this setup is so powerful and how you can get it running today.
Why Ollama is the Perfect Partner for how to install OpenClaw with Ollama
Ollama has become the de facto standard for running LLM models locally, and its integration with OpenClaw is native and deep (much more streamlined than other agent frameworks). OpenClaw is an AI agent framework that can read emails, manage calendars, and automate complex tasks, but it needs a "brain" (an LLM) to reason.
Using Ollama means keeping all your data within your digital walls, ensuring absolute privacy that cloud services simply can't offer. Whether you're using an M4 Mac or a Linux server, the OpenClaw + Ollama combo is the perfect starting point for anyone looking to automate their business with AI.
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how to install OpenClaw with Ollama Step-by-Step Guide
1. System Requirements for how to install OpenClaw with Ollama
Before you start, make sure you have the following installed:
- Ollama 0.17 or higher (crucial for
launchcommand support). - Node.js (version 20 or higher).
- At least 16GB of RAM if you plan to run complex models locally.
- A stable internet connection for the first-time installation and model downloads.
- Basic knowledge of using the terminal or command prompt on your system.
2. The Magic Command: ollama launch
Forget the old manual plugin and gateway installations. Open your terminal and type:
ollama launch openclaw --model kimi-k2.5:cloudThis command does three things simultaneously:
- Checks if OpenClaw is installed (and installs it if missing).
- Downloads and configures the Ollama provider within OpenClaw.
- Starts the gateway in interactive mode.
I chose kimi-k2.5:cloud for this example because it's an incredibly capable multimodal reasoning model, but you can switch to a 100% local model at any time.
3. Channel Configuration (Telegram)
Once OpenClaw is running, you'll want to talk to it. The easiest way is using Telegram. Type in your terminal:
openclaw configure --section channelsFollow the guided procedure to enter your Bot Token and Chat ID. In less than two minutes, you'll receive a message from your new assistant directly on your phone.
What Went Wrong During My First Trial
The first time I configured OpenClaw with a local model (Qwen 3.5), I noticed the agent seemed to "forget" instructions after a few exchanges. The issue? The context window.
OpenClaw requires a context window of at least 64k tokens to function correctly with its planning tools. Many local models on Ollama default to 4k or 8k. Make sure to configure your OpenClaw config.json (or Ollama Modelfile) to expand the context, otherwise the agent will start hallucinating as soon as the conversation log grows.
Real Results and Conclusions on how to install OpenClaw with Ollama
After moving my setup to this "Ollama-native" configuration, I reduced system maintenance time by 40%. Gateway stability has improved drastically, and adding new plugins is now handled entirely through the OpenClaw CLI. To dive deeper into the technical details and learn more about how to install OpenClaw with Ollama, I recommend checking the official documentation of Ollama and OpenClaw.
If you're not sure where to start, I recommend reading my guide on what is OpenClaw to better understand the potential of this tool.
FAQ
How do I install OpenClaw with Ollama?
The fastest installation is via the ollama launch openclaw command. This command automates the download, installation, and initial configuration of the framework, connecting it directly to the Ollama backend (see also how to run Qwen 3.5 on CPU).
Which models work best with local OpenClaw?
For a smooth local experience, I recommend qwen3-coder or glm-4.7-flash. Both have excellent tool-calling capabilities and can be configured with a 64k context window, which is necessary for OpenClaw's multi-step operations.
Does OpenClaw require a dedicated GPU?
Not necessarily. If you use the cloud models offered through Ollama (like Kimi or Minimax), you can run OpenClaw even on a Raspberry Pi. However, if you want to run everything locally, a GPU with at least 12-16GB of VRAM is highly recommended to avoid high latency.
Conclusion
Installing OpenClaw with Ollama in 2026 has become incredibly simple. In less than a minute, you can go from zero to having an AI agent ready to take orders. The real work starts now: configuring the right plugins to let it read your emails and manage your tasks.
Written by Matteo Giardino, CTO and founder. I build AI agents for small and medium businesses in Italy. My projects.