dsh-qwen38-local-qol
Yunado
DeepSeek Harness QoL plugin for the local Qwen3.8 line (27B/Flash-Next): per-request thinking budgets, a compaction backend that stops burning the output cap on thinking, and a settings tab.
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9projects include this topic
The "local-llm" topic on GitHub groups 9 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by dsh-qwen38-local-qol with 11 GitHub stars. dsh-qwen38-local-qol — DeepSeek Harness QoL plugin for the local Qwen3. Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
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Yunado
DeepSeek Harness QoL plugin for the local Qwen3.8 line (27B/Flash-Next): per-request thinking budgets, a compaction backend that stops burning the output cap on thinking, and a settings tab.
Adds local LLM capability to DSH: one-click start/stop of local llama.cpp models in Settings → Plugins (dual-slot x dual-modal x dual-preset), configure inside the card, one-command install, auto-register, ready to use | Enable local large model capabilities for DSH: One-click start/stop for local llama.cpp models (dual‑slot × dual‑modal × dual‑preset) right in Settings → Plugins; configure within the card, install with a single command, automatically register, and ready to use
PerryLink
Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.
1035041186
dsh-llm-ollama is a community plugin built for DeepSeek Harness (dsh) that lets Harness connect to a local Ollama service via the Ollama native protocol (/api/chat). Plug and play: no changes to any official dsh files; after installation an Ollama page automatically appears in Settings, and the provider's models are offered in the session model selector.
AllDurham
Expensive brain + cheap hands: cloud-orchestrator + local-worker lanes (delegate & read-only scout) for DeepSeek Harness | community Agent preset
nnbw-liu
Local ollma-based model inference
ClearLeaf13
把本地 llama.cpp 管理器里的模型接入 DeepSeek Harness — bring local llama.cpp manager models into DeepSeek Harness
Golopuer
When you use DeepSeek harness,you may hate that the big fish is always thinking in English,not Chinese(or the other language).Dot't worry,Deepseek has written an Plugin to translate it,but with qwen 3.5 0.8B's help......This Plugin will translate thinking without API.It is helped by deepseek V4 pro.
wertyBSd
Local LLM integration plugin for DeepSeek Harness