Ollama 0.17 Enables 1-Command OpenClaw Setup for 64k-Context Private AI Assistants
Updated
Updated · KDnuggets · Jul 9
Ollama 0.17 Enables 1-Command OpenClaw Setup for 64k-Context Private AI Assistants
3 articles · Updated · KDnuggets · Jul 9
Summary
Ollama 0.17 collapses OpenClaw installation into a single ollama launch openclaw command, automatically installing the app, configuring the Gateway daemon, selecting a model and starting a persistent assistant.
64k tokens is the minimum context length for agent workloads, with the guide warning that Ollama’s default 4k setting on many consumer systems is too small for multi-step research tasks.
Telegram is positioned as the simplest first channel: users create a bot with BotFather, paste the token into OpenClaw, and can then run web-enabled research queries from chat.
Cloud models such as kimi-k2.5:cloud get maximum context and bundled web search automatically, while local models need roughly 25 GB VRAM and explicit context tuning to avoid CPU offloading.
The setup also supports headless deployment with --yes and Docker, extending OpenClaw from an interactive terminal tool into a 24/7 private assistant across Telegram, WhatsApp, Slack, Discord and iMessage.