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pi-web-access for the DeepSeek Harness: multi-provider web search with automatic fallback (SearXNG → Tavily → Brave → keyless DuckDuckGo) plus URL content extraction, wired into the web seam so the built-in web_search tool is powered by piwa. Search engine toggle and API keys are configurable from the DSH settings page.
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Delegate light subagent tasks to cheaper models: automatic Flash/Pro routing for DeepSeek Harness subagent calls, with /delegate overrides, budget caps, and a routing-ledger panel.
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In-app self-update for DeepSeek Harness git-source installs (check / one-click update / rollback / restart), with an optional native macOS shell.
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Codex-like persistent memory for DeepSeek Harness: auto-injected memory summary, raw memory tools, and per-session rollout summaries distilled into a bounded global memory file.
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Multi-provider AI balance widget for the dsh web sidebar: a live, auto-refreshing balance pill plus a detail popover listing DeepSeek and any added providers (MiMo etc.). Keys are stored per-machine in ~/.dsh/ai-balances.json and resolved from the local credential seam, never hardcoded.
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Skill studio for DeepSeek Harness: visualize all agent skills, view/edit their SKILL.md bodies, toggle model/user invocation, and mine session logs to extract reusable personal skills (auto-loadable by the agent) — from the web settings panel (Skill 工作台) and via skillmgr_* / skillmgr_extract_* tools
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Long-term memory for DeepSeek Harness agents: automatic recall each turn, a retain/recall/reflect tool, standing rules, and visibility you scope to the whole bank, a preset, or a session.
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Switch between Chat and Agent without leaving your DeepSeek Harness session.
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DeepSeek Harness 插件:数学建模竞赛自动化论文撰写系统 v3(中控台双重质疑 + 五阶段流水线:扫描验证/评审决策、P0-P3 评级与阶段级回滚、教训持久化、索引导航、兜底定稿 Final_Paper.md、断点续跑、进度面板)
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DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
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DeepSeek Harness bundle for a Windows desktop UI context picker and MCP server for Codex, DeepSeek Harness, and AI agents
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dsh LLM adapter plugin that bridges Devin Connect RPC into the dsh model provider system, with dynamic model catalog, settings panel integration, and Devin CLI credential auto-detection.
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Persistent memory for DeepSeek Harness: per-conversation notes, selective injection, project memory, semantic Vault search (bge-m3, free optional key) and automatic retrieval — agents stop forgetting.
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Free web search for DeepSeek Harness: Bing, DuckDuckGo, SearXNG, Exa, Tavily, Keenable — with automatic fallback, time filtering, and platform search
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会话级自动上下文压缩插件:回合中每步前 + 回合结束检测上下文用量,超过会话阈值自动 compact,摘要注入上下文后自然继续(DeepSeek Harness / DSH)
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Sticker/emoji expression plugin for DeepSeek Harness — assistants send stickers to express emotions, with library management, AI tagging, auto-matching, dialects and style mimicry. · DSH 表情包插件:让助手用表情包表达情绪,含图库管理、AI 识图、自动配图、方言口音与学我说话。
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Shut down Windows after DeepSeek Harness tasks complete — draggable button, auto-dodge, cancellable countdown. 任务完成后自动关机(按钮可拖动、自动避让,倒计时可取消)。
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A 'slacking off' mini-games plugin for DeepSeek Harness: five casual games (sliding-number puzzle, Sudoku, snake, Schulte grid, number memory) that pop up when a turn starts, with auto-saved progress across sessions.
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Automatically opens the dsh Web UI in your browser (Chrome/Chromium first, system default as fallback) once the server is ready. Works on Windows, macOS, and Linux.
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DSH Desktop Operator: safe Windows Computer Use, desktop automation, UI Automation, and MCP tools for DeepSeek Harness
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Codex-style computer use for DeepSeek Harness (DSH): read the screen and drive the mouse & keyboard. Pairs with picturereader (image_scan/image_ocr) to close the look-act-verify loop. Windows.
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Event-driven development automation, offline standards, CI adapters, and quality gates for Cordis plugins in DeepSeek Harness.
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LLM-as-a-Verifier plugin for DeepSeek Harness: fine-grained logprob-based scoring, pairwise pivot tournaments (best-of-N) and an automatic end-of-turn quality gate.
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DSH 插件:春笋(ChunSun)驱动的 AI 原生项目交付 —— 需求/Run/Step/场景/用例/工作记忆 + 验收闭环(pm = project management)