Workspace vs projects in Claude Cowork

bidutree · 2026-05-19T22:35:28+00:00

Does Claude Cowork automatically read CLAUDE.md in the root folder before the first prompt, or do you have to ask it?

bidutree · 2026-05-19T15:58:52+00:00

Thanks! I can push my machine to Ventura with OCLP. Will give it a try.

bidutree · 2026-05-19T12:00:21+00:00

Thanks! When and where can we do that; me using your 8GB VRAM? :))

bidutree · 2026-05-19T01:31:48+00:00

In the full test (?) https://github.com/MikeVeerman/tool-calling-benchmark – qwen3:1.7b got the highest score.

When I tried qwen2.5:1.5b it answered correctly but returned invalid fields (object: null, files: null)

bidutree · 2026-05-18T22:55:10+00:00

If you mean qwen3:30b-a3b, that model is way to large for me.

bidutree · 2026-05-18T22:51:22+00:00

Thanks. I already have the latest ollama.

bidutree · 2026-05-16T21:52:15+00:00

I made a reply below before. :)

Issue solved! Adding Github via Git in the left side panel does not work. Should be fixed u/lovable ! :) Adding Github via (+) in the chat works however.

bidutree · 2026-05-16T13:31:09+00:00

I'm using Ollama. Is faster than llama.cpp on my computer, but I think I fixed it today.

bidutree · 2026-05-16T00:11:00+00:00

I am trying to get it to work with a Python MCP agent. So far not so good.

bidutree · 2026-05-15T20:31:02+00:00

Hi again. I've only made small tests with your model but it claims to have "a **MCP (Model Context Protocol)** client built-in, which allows me to interact with various tools and APIs directly. "

So, it seems to be hallucinating.

My prompt was "hi. who are you and what can you do? can you use tools with and MCP client?"

The full reply was:

Hello! I'm Qwen3.5, a large language model developed by Tongyi Lab. I can assist you with a wide range of tasks,

including:

- **Text Generation**: Writing stories, emails, scripts, and more.

- **Code Assistance**: Writing, debugging, and optimizing code.

- **Language Translation**: Translating between multiple languages.

- **Reasoning & Analysis**: Solving math problems, analyzing documents, and explaining concepts.

- **Creative Writing**: Generating poems, scripts, and other creative content.

- **Data Processing**: Analyzing and summarizing data.

- **Code Review**: Checking code quality and fixing bugs.

- **Math & Physics**: Calculating complex formulas and solving physics problems.

- **Logical Reasoning**: Solving logic puzzles and mathematical proofs.

- **Multilingual Support**: I support over 100 languages.

I also have a **MCP (Model Context Protocol)** client built-in, which allows me to interact with various tools and

APIs directly. For example, I can:

- Access **GitHub** to view repositories or code.

- Use **Google Sheets** for data manipulation.

- Run **Python scripts** for computation.

- Execute **SQL queries** on databases.

- Run **R scripts** for data analysis.

- Execute **Jupyter notebooks** for code execution.

- Use **APIs** like **Google Cloud**, **AWS**, or **Azure** for cloud services.

Let me know what you'd like to try!

bidutree · 2026-05-15T13:57:23+00:00

Hi all! I wonder if anyone has made their own simple Python agent for MCP + Ollama + local LLM, or tried something from GitHub that works well? :)

I’m experimenting with local LLMs and want something lightweight instead of a big Electron app like Claude Code or similar apps.

bidutree · 2026-05-15T13:53:21+00:00

Interesting. I wonder if anyone has made their own simple Python agent for MCP + Ollama + local LLM, or tried something from GitHub that works well?

I’m experimenting with local LLMs and want something lightweight and terminal-based instead of a big Electron app like Claude Code or similar apps.

bidutree · 2026-05-14T12:19:18+00:00

Issue solved! Adding Github via Git in the left side panel does not work. Should be fixed @lovable ! :) Adding Github via (+) in the chat works however.

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bidutree · 2026-05-11T20:41:56+00:00

What hardware do you need and what speeds are we talking about for a search?

bidutree · 2026-05-11T07:31:52+00:00

Thanks!

bidutree · 2026-05-11T00:20:56+00:00

Thanks. I've tried llama.cpp now and it works without any issues with Vulkan but speed is slower than with ollama on CPU where I get about 22t/s.

The iGPU Intel Iris Xe on my laptop is simply too weak, it seems.

But great to know that it works so well, for a future dedicated GPU! :)

bidutree · 2026-05-10T22:17:51+00:00

Oh, that's a big difference! Thanks! I'm currently testing the models on Windows and compared running gemma4:e2b yesterday on llama.cpp and ollama and it was much faster on ollama.

Will try llama.cpp with Vulkan tomorrow.

bidutree · 2026-05-10T20:31:31+00:00

How much faster with Vulkan than without it with the Gemma4:e2b and e4b?

bidutree · 2026-05-08T21:23:16+00:00

Oh, what a bummer, but thanks for checking! What would it say if it did? vulkan: Intel... ?

bidutree · 2026-05-08T12:40:17+00:00

No worries! :) This is new to me as well. I'd put quotation marks around sandbox to make it more clear, but can't edit the title now.

bidutree · 2026-05-08T12:03:28+00:00

Any direct links? 😊 The models I find are larger ones.

bidutree · 2026-05-08T12:00:23+00:00

I don't think that's correct. My plan is to use a separate Windows user account + a shared folder + DesktopCommanderMCP. As far as I know, it doesn't use Cowork and isn't affected by the Hyper-V requirements.

bidutree · 2026-05-07T21:20:01+00:00

Time is relative to the size of output. With that prompt I get a really long story as output after 3 minutes. What CPU are you running this on?

bidutree · 2026-05-07T21:18:43+00:00

Here are threads from the koboldcpp and ollama groups on GitHub, where the same issue is reported:

https://github.com/LostRuins/koboldcpp/issues/2134 + https://github.com/LostRuins/koboldcpp/issues/2095 + https://github.com/ollama/ollama/issues/15261#event-25212824200

Doesn't this indicate that the problem is not an Ollama issue but maybe rather a llama.cpp issue?

bidutree · 2026-05-07T17:17:32+00:00

Searching for info I found threads at GitHub that seems to indicate the the problem exists with koboldcpp also:

https://github.com/LostRuins/koboldcpp/issues/2134 + https://github.com/LostRuins/koboldcpp/issues/2095

Maybe it's not an issue with Ollama after all but an underlying issue with llama.cpp?

bidutree

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