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DSH Web GUI right sidebar, replaced end to end: VS Code-style file explorer plus full source control (git status, stage/unstage/discard, commit, diff, commit graph, fetch/pull/push sync, branch/remote management, git init, multi-repo switch, color-coded status, file-type icons). Every file opened from the chat, the sidebar or source control is taken over into a multi-tab editor view (Markdown/HTML/PDF/image previews, 15-language syntax highlighting, hunk-level diff editing, Ctrl+S save), with file operations (new/move/copy/delete, reveal in file explorer), a collapsible icon rail, a multi-tab bottom terminal (ConPTY) and AI commit messages from a host-configured model.
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DSH 实时思维链锚定监控插件: we/let's/let me 指纹波段检测(spec/mixed/react) + L1温和引导/L2强制重置/L3会话重启分级干预; 左侧栏入口 + 液体毛玻璃浮层 + 变阻器式思考强度条; 独立监控进程 + JSONL 实验日志 + 离线回放/参数校准; 变阻器条可选严肃/「滑动变祖器」梗双皮肤。
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Local-first persistent memory infrastructure for DeepSeek Harness: bounded hot-memory bootstrap, explainable cold recall (exact + Chinese BM25), lease-lock transactional writes, read-only governance, and trajectory review. DSH plugin host; Python stdlib + Markdown core. Zero database / vector service / external service dependencies.
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OpenCodeGo 用量 v0.1（作者：Xu Yuanshan）：输入框右下角呼吸灯显示剩余额度，点击展开液态玻璃面板——三窗口进度条（5小时/7天/30天）+ 重置时间，Key 自动读取 DSH 凭据（opencode-go 提供商）。
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NoLetMe — real-time reasoning-trajectory keyword stats for the DeepSeek Harness web chat. Tracks the We-need/Let's efficient trajectory vs the Let-me hesitant trajectory vs the The-user-wants neutral framing in the model's streaming reasoning blocks.
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OpenCode Go subscription usage readout for the dsh web GUI: rolling (5h), weekly, and monthly usage windows with reset countdowns in the composer dock.
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Capital Generation：面向中国散户的 AI 投资助手插件(Capital mode Agent Preset）
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Drive Origin scientific plotting from DeepSeek Harness AI chat via MCP - 35 tools: file import (CSV/TXT/XLSX, CJK-safe), plan-confirm flow, domain templates (stacked spectra/XRD/dual-Y/forest/multi-panel), editable OPJU delivery, deterministic readback verification, inline image preview, statistics batch (t/ANOVA/PCA/survival), version capability handshake, stable error codes. Market-safe bundle: self-locating server path, fail-open startup, sync stdio transport.
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插件管家——图形化插件管理：中文名与用途说明目录 + 一键启停（写入全局 cordis.patch.yml，实时热生效）
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LLM-assisted auto approval with timeout fallback for DeepSeek Harness
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DeepSeek Harness 余额徽章插件：侧边栏实时显示 DeepSeek 账户余额（每 5 秒刷新），数字滚轮动画 + 刷新闪烁指示（上升绿 / 下降红），支持手动刷新。
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A general-purpose knowledge base plugin for DeepSeek Harness (DSH): import documents (md/txt/json/yml/docx/pdf), organize them in folders, and search with FTS5. 通用知识库插件：文件导入、目录化管理、全文检索、知识库管理 UI。
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Unofficial DeepSeek Harness integration for Unreal Engine 5.8 Unreal MCP
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Unified agent memory for DeepSeek Harness — one shared Obsidian vault for every agent (dsh, Codex, Claude, Hermes). Ships the dependency-free Python core (search/promote/adjudicate/forget), a vault template, and a dsh plugin with memory_search / memory_show / memory_submit / memory_status tools. · 统一 Agent 记忆系统：多 Agent 共享一个 Obsidian vault，附零依赖 Python core 与 dsh 插件。
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WebUI-managed encrypted credentials for DeepSeek Harness: one file, plaintext until a password is set, then AES-256-GCM ciphertext under an Argon2id-derived key with SHA3-256 fingerprints; per-request decryption, unlock lockout, leak-guard output redaction, and shipped-code integrity self-checks.
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A floating whale desktop pet for the DeepSeek Harness Web UI: 95 categorized animations, event-aware actions, custom uploads, click reactions, dragging and screen wandering.
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DSH 演示文稿技能 + 工具插件：一句话或一篇 Markdown 文档 → 完整演示文稿（独立 HTML 网页放映 + 可编辑 PPTX 导出），内置 5 套视觉主题与页间转场/要点入场动画（motion 可关），可配置默认主题/语言，中英双语，SKILL.md 薄路由 + references 按需装载，跨 harness。
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Qingxiao (Wuthering Waves) themed skin with ice-blue/jade/moon-white palette, sword-light motes and user-swappable background for the dsh web GUI
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DeepSeek Harness plugin: quiz-style reading (答题式阅读) of any Markdown document — 5-stage game loop (diagnose→level→guided reading→checkpoint→settle) with a Web sidebar panel and a reading-area tab.
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心虫 HeartFlow — AGI 第1层辨别门禁作为 DSH 插件: 47维纯规则判别 (heartflow_check/analyze/verdict/dimensions) + 工具调用后自动输出监督, fail-closed, 零LLM依赖
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Provider fallback chain for the DeepSeek Harness LLM seam
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We Need 模式包装（DeepSeek Harness 插件）：把「we need to ...」思维链引导规范（源自 scp3500/oh-we-need，MIT）做成 DSH 原生能力 —— weneed 工具（会话内一键注入）/ /weneed 命令 / WeNeed agent-preset（新会话常驻）
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Local OCR fallback for DeepSeek Harness (Web): when the routed model cannot accept image input, a pasted image is saved locally and its text read by PP-OCRv5 + ONNX Runtime — fully offline, no vision model required. / DeepSeek Harness 本地 OCR 兜底插件（Web）：当接入的模型不支持图片输入时，自动把图片存到本地并用 PP-OCRv5 读出文字，完全离线。
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OpenCode Go plan usage monitor for DeepSeek Harness: real-time 5h-rolling / weekly / monthly quota in a floating web dock