Ollama 0.17: Simplified Setup for OpenClaw AI Assistant

Ollama 0.17 enables the deployment of OpenClaw, a personal AI assistant, using a single terminal command. This integration allows users to run an agent capable of managing inboxes, calendars, and messaging apps directly on their own hardware.

One-Command Deployment via Ollama 0.17

Ollama 0.17 simplifies the installation of OpenClaw by automating the detection and configuration process. Users can initiate the setup by running the following command in a terminal:

ollama launch openclaw --model kimi-k2.5:cloud

If OpenClaw is not present on the system, Ollama detects the absence and prompts the user for installation, handling the subsequent configuration automatically. The system requires Ollama 0.17 or later, Node.js (for npm installation), and a Mac or Linux environment (Windows users must use the Windows Subsystem for Linux).

Model Selection and Performance Requirements

OpenClaw agents perform optimally with models that support a context length of at least 64k. Ollama provides two categories of models for this purpose:

Cloud Models

Cloud models offer full context length and are recommended for the best agent experience. Available options include:

Model Description
kimi-k2.5:cloud Multimodal reasoning with subagents
minimax-m2.5:cloud Fast, efficient coding and real-world productivity
glm-5:cloud Reasoning and code generation

Local Models

Local models run on the user's GPU VRAM. Available options include:

| Model | VRAM | Description | | :--- | :--- | | glm-4.7-flash | ~25 GB | Reasoning and code generation | | qwen3-coder | ~25 GB | Efficient all-purpose assistant |

Capabilities and Integrations

OpenClaw functions as a personal assistant that can execute tasks across various platforms. Key capabilities include:

Messaging App Connectivity

OpenClaw can be integrated with WhatsApp, Telegram, Slack, Discord, and iMessage. Users can configure these channels by running:

openclaw configure --section channels

Web Search Integration

When a cloud model from Ollama is selected, the web search plugin is installed automatically, enabling the assistant to retrieve up-to-date information from the web. Local models function out of the box without requiring additional plugins.

Security and System Access

Because OpenClaw can read files and execute actions when tools are enabled, it must be run in an isolated environment. Users are advised to review the OpenClaw security documentation to understand the risks associated with granting the assistant access to the local system.

Sources

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