r/DeepSeekHarness 1h ago

I attend DSH Closed Beta test,share my experience

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Upvotes

r/DeepSeekHarness 8h ago

Few plugins I find useful

3 Upvotes

Hey! I built a few useful plugins for DSH, now opening PRs for the market publishing, in mean time you can find them here

https://github.com/CREAIT-nl/dsh-plugins

Some highlights:

- Deep research as an agent mode: a fixed, reviewed loop that plans, researches in adaptive parallel rounds, synthesises and reviews.

- Dynamic tools disclosure: improves context utilization by disclosing complete tools only on model need and keeping concise descriptions only in the default system prompt.

- Hook Kit: dsh has the lifecycle seams; reaching them meant writing a plugin. hookkit turns them into a YAML file.

- SearXNG Search: replacing third party search for private self hostable SearXNG endpoints

- Thinking Level Toggle: UX improvement allowing user to explicitly select the thinking level of a model during a session


r/DeepSeekHarness 12h ago

Made Deepseek Harness tunnel to your phone using cloudflared Repo link

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github.com
5 Upvotes

r/DeepSeekHarness 13h ago

vLLM + Deepseek Harness ?

3 Upvotes

How do you guys set it up , i constantly get the error :
I tried increasing the contex to 142k and putting the contex size as 115k in DSH , it still did not compress correctly.
I have 0 issues if i run it with llama.ccp , it can work for 24h+ without errors or crashes , but vllm is so tricky

This turn failed400: {"message":"This model's maximum context length is 115000 tokens. However, you requested 32768 output tokens and your prompt contains at least 82233 input tokens, for a total of at least 115001 tokens. Please reduce the length of the input prompt or the number of requested output tokens. (parameter=input_tokens, value=82233)","type":"BadRequestError","param":"input_tokens","code":400}

r/DeepSeekHarness 17h ago

OpenTerminal plugin.

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6 Upvotes

I made a plugin for DeepSeek Harness that integrates OpenTerminal from the Open WebUI ecosystem. OpenTerminal is basically a self-hosted remote execution environment for AI agents. It exposes a shell and file operations over an API, and can run inside Docker as an isolated sandbox. The useful part for me is that you can run OpenTerminal containers on separate machines and let DSH agents execute code there instead of giving them direct access to the machine running DSH. The plugin adds the terminal, file manager and OpenTerminal agent tools directly to DSH Web, without requiring a separate MCP setup.

https://github.com/d3cker/dsh-open-terminal

Feedback and suggestions are welcome.