Launch OpenClaw with a Single Command in Ollama 0.17 – Zero Configuration

Prerequisites

You need the following:

Ollama 0.17 or newer – download from the official site.

Node.js (npm) – required to install OpenClaw.

Mac or Linux (Windows users can use WSL).

Step 1: Run the launch command

Open a terminal and execute: ollama launch openclaw --model kimi-k2.5:cloud This single command lets Ollama handle the entire setup.

Tip: Replace kimi-k2.5:cloud with any other supported model, or run ollama launch openclaw to see the recommended list.

Step 2: Install OpenClaw

If OpenClaw is not yet installed, Ollama will prompt:

OpenClaw is not installed. Install with npm?
> Yes   No

Select Yes and wait a moment for the automatic installation.

Step 3: Start chatting

After installation, OpenClaw opens in the terminal. You will see output similar to:

🦞 OpenClaw 2026.2.22-2 — I can run local, remote, or purely on vibes
openclaw tui - ws://127.0.0.1:18789 - agent main - session main
session agent:main:main

OpenClaw also greets you and shows that IDENTITY.md and USER.md are empty, inviting you to define your assistant.

Web‑search capability

When you select a cloud model (e.g., kimi-k2.5:cloud), Ollama automatically installs a web‑search plugin, enabling real‑time internet queries.

Example query: what all is in ollama v0.17.0 release? The assistant fetches the release notes and summarizes the major features, compatible open‑source models, automatic web‑search activation, tokenizer improvements, and smarter context‑length management.

Messaging integration

OpenClaw can connect to many instant‑messaging services with a single configuration command: openclaw configure --section channels Supported platforms include WhatsApp, Telegram, Slack, Discord, iMessage (via BlueBubbles), Google Chat, Signal, Microsoft Teams, and WebChat. After following the prompts and selecting Finished, the assistant can receive messages, perform searches, organize emails, and manage schedules—all while keeping data on your device.

Model selection guide

For the best experience, use a model with at least a 64 K context window. Ollama’s model selector recommends two categories:

Cloud models (no local GPU required)

kimi-k2.5:cloud – multimodal reasoning, sub‑agent support.

minimax-m2.5:cloud – efficient programming and productivity.

glm-5:cloud – inference and code generation.

These models provide full context length and the best agent experience.

Local models (GPU memory needed)

glm-4.7-flash – ~25 GB VRAM, inference and code generation.

qwen3-coder – ~25 GB VRAM, versatile assistant.

My recommendation: If you don’t mind cloud inference, choose kimi-k2.5:cloud for its multimodal abilities. For full local privacy, use a GPU with at least 25 GB VRAM.

Full capability overview

OpenClaw’s architecture follows a Gateway pattern, where all channels funnel through a central WebSocket control plane:

WhatsApp / Telegram / Slack / Discord / ...
               │
               ▼
        ┌───────────────────────┐
        │       Gateway          │
        │    (control plane)     │
        │ ws://127.0.0.1:18789   │
        └──────────┬────────────┘
                   │
          ├─ Pi agent (RPC)
          ├─ CLI (openclaw …)
          ├─ WebChat UI
          ├─ macOS app
          └─ iOS / Android nodes

Key capabilities include:

Local‑first – all data and computation stay on your device.

Multi‑channel inbox – a single gateway serves many messaging platforms.

Native agent support – built‑in tools, session management, memory, and multi‑agent routing.

Voice interaction – Voice Wake + Talk Mode on macOS, iOS, Android.

Live Canvas – visual workspace driven by agents.

Rich toolset – browser control, canvas, scheduled tasks, webhooks, etc.

Companion apps – macOS menu‑bar app and iOS/Android clients.

Security model – DM pairing, whitelist, and access controls.

Security considerations

Run OpenClaw in an isolated environment.

Understand the risks of granting system access to OpenClaw.

Configure the allowFrom whitelist to control who can talk to your assistant.

Enable dmPolicy: "pairing" so unknown senders need a pairing code.

Conclusion

The combination of Ollama 0.17 and OpenClaw reduces the effort to obtain a private AI assistant to a single command, compared with the many manual steps required in earlier setups.

Previously you would have to select a model, download it, configure an inference framework, build an API service, develop a chat UI, and integrate messaging platforms. Now a single ollama launch openclaw --model kimi-k2.5:cloud command does it all.

One command, done.