DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件，打造 DeepSeek Harness 生态的一站式目录。
82 个项目，匹配「reasoning」
Tencent
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
yjh051108
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).
Tiger3807861189
J-Space Cognition Suite — a model-agnostic inference-time control suite for deep reasoning, long-horizon work, verification, and recovery. Based on Anthropic's J-space global workspace research.
Mars-Sea
Command Code provider plugin for DeepSeek Harness (dsh). Adds Command Code model access, live model catalog, plan-aware model selection, reasoning effort, image input, web search, and multi-account support.
Nwflower
Import conversation history from 25+ AI coding agents into DeepSeek Harness as resumable sessions — tool calls, reasoning and results kept intact, with reverse export and sync. | 把 25+ AI 编程 Agent 的聊天记录导入 DeepSeek Harness 继续对话，保留工具调用、推理与结果，支持反向导出与同步。
HanaAyane
DSH适用的Codex风格的思考强度滑块，以及大肥鱼跑步滑块。Codex-style model and reasoning-effort slider for DeepSeek Harness
aa2246740
A calmer reading view for DeepSeek Harness: native process details, live reasoning, and clean final answers.
HaoyueQin
Reasoning-effort editing for third-party models in DeepSeek Harness: per-model thinking levels with a knowledge base + protocol inference, edited inside the official Models page card.
hytime
A DeepSeek Harness plugin for reasoning-effort defaults and protocol-aware gateway compatibility settings for llm-pi-ai models.
kirkchinese
为 DeepSeek Harness 打造：选中 AI 回答或思考内容，随时追问、学习、检查与纠偏。
LiZhenNet
为 DeepSeek Harness (DSH) 打造的 Google Antigravity 模型提供者插件/Google Antigravity LLM provider for DeepSeek Harness with native Web OAuth, real-time quota tracking, and dynamic reasoning effort routing.
Microqian2th
Codex 风格的推理等级滑条（DeepSeek Harness 插件）：可拖动连续滑条 + 高档位渐变星尘特效
yuhub233
科幻推理等级滑条 for DeepSeek Harness：Ultra 档 + 闪电编排模式 + 子代理 tok/s 读数 / A sci-fi reasoning-effort slider for DSH
imlishiyuan
让 DeepSeek Harness 的推理（reasoning）与输出默认使用简体中文的中文插件。A Chinese-first plugin that makes [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) reason (`reasoning`) and answer in Simplified Chinese by default.
alib8b8
Local-first automation Agent & deterministic workflow engine — the secure control layer between AI and your data. Data stays local. Connect your own LLM / files / notes / databases via Connector API. ReAct reasoning · DAG/WAL/Saga/idempotent execution · MCP · offline-capable.
sanshanya
Per-model capability declaration for DeepSeek Harness: reasoning-effort levels (wire spellings) + request modalities (vision) for OpenAI-compatible providers. Settings section, zero runtime harness deps, no YAML.
Aik358
Real-time chain-of-thought anchoring monitor & intervention plugin for DeepSeek Harness: three-band (spec/mixed/react) fingerprint detection, L1 hint / L2 reset / L3 restart interventions, liquid-glass web overlay + rheostat bar, standalone monitor process with JSONL experiment logs.
Electricitysheep
Per-round reasoning_effort optimizer for DeepSeek Harness (dsh): auto-downgrades tool-call reasoning for simple tool chains, lifting back for heavy work. Cuts thinking time between tool calls.
drscrewdriver
deepseek-harness dsh thinging levels 调整 reasoning强度调整
wallpap
compact reasoning, tool activity groups and pictures for DeepSeek Harness Web and DeepSeek Harness Desktop.
dat-lequoc
Kiro provider for DeepSeek Harness with Builder ID login, live model discovery, and reasoning effort controls
grunmin
Enhanced ACP (Agent Client Protocol) server for DeepSeek Harness (dsh) — drop-in bridge for the Zed editor: block-level streaming, usage/stat telemetry, model & reasoning-effort switching, permission presets, session resume & archive. Install: dsh plugin add
justhalfbit
DeepSeek Harness (DSH) 推理等级自动选择插件：由 Jev System One 模型判断每条消息值多少思考量，按模型声明的等级自动推导档位，上下文信封让「继续」这类追问继承话题深度，低置信度向上取，任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model advertises, a fixed-size context envelope so follow-ups inherit topic depth, ties break upward, silent fallback on every failure path.
qjcnmd
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