Video on running an ollama coding assistant on Hetzner. Does not mention the fact it runs on a GEX44 at Hetzner, which starts at 200 Euro/month

openclaw can detect presence of ollama if it is visible at this specific localhost address. basically if you have ollama running it will be detected. Meaning I could run openclaw fully locally.

one can set openclaw to work through ollama.

ollama can integrate with OpenClaw, meaning it would run through local models

This setting is in ollama desktop interface. Does it set it for the terminal too? Or are these two separate instances?

Default ollama context length is 4k. Recommended minimum for websearch, agents and coding tools (like Claude Code or Open code) is 64k. I've seen 128k recommendations for Claude Code

how to set context length in ollama?

where? and in ollama or claude code? this reads like in claude code

Did this using qwen3-code, but then Claude Code just keeps spinning, even with the smallest prompt. Not sure about the cause (first load of model??)

the local models ollama recommends for use in claudecode - qwen3-code - glm-4.7 - gpt-oss:20b - gpt-oss:120b

ollama can also be used with claude code through their endpoint. This allows to use the open Chinese coding models like qwen3

ollama model catalog, to see which ones are popular at the mo

• [ ] return

connecting to ollama let's me choose the model for text enhancement

Ah, enhancement can be done locally too, by connecting to ollama.

Wispr Flow uses both open (Llama) and closed LLMS, ao OpenAI . Server side though

suggested ollama models for code generation, 4 out of 5 are Chinese, one other from OpenAI

CodeGPT and this blog are run by Judini Inc, a Miami based US corporation

Another Qwen model, without the focus on visual inputs. Alibaba. Listed in ollama

Qwen models are by Alibaba. The VL versions are for visual inputs to generating code. Listed in ollama

DeepSeek, Chinese model. Listed in ollama

GLM is a Chinese model. I don't see it listed in Ollama though.

GPT-OSS is by OpenAI. It is available locally in Ollama it seems in various versions.

The AI toolkit adds LLM based options to VSCode. Installed it, as it allows me to access different models via ollama locally.

能力 - 语音转录: 基于whisper模型（可本地，也可用OpenAI Whisper API） - 字幕翻译: 支持ollama 和 LM Studio （其实是基于【兼容OpenAI API】设计的 https://chidiwilliams.github.io/buzz/zh/docs/usage/translations ）

安装与部署: 基于python包 - 对MacOS和Windows均提供了一键安装包 - 对Linux提供了flatpak和snap包

能力: - 语音转录支持本地(WhisperCpp/FasterWhisper) 和在线（B接口/J接口??） - 字幕翻译支持传统引擎和LLM - 传统引擎: DeepL/微软/谷歌 - LLM: Ollama、DeepSeek、硅基流动以及【OpenAI兼容接口】 （配套提供LLM API中转站）

安装部署 - Windows提供一键安装包 - MacOS需要自行基于python搭建，且作者说未验证过 👎 。另外本地 whisper 功能尚不支持macos）

docker容器间访问ollama localhost要变 ubuntu获取主机ip命令： hostname -I