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Agent-driven long-term memory for DeepSeek Harness: scoped memory (global + per-workspace), layered entries (fact/knowledge/episodic), time-bucket compaction (day→week→month→year), associative recall (related chains) + memory_relate navigation (multi-hop BFS closure), auto recall injection on user messages (CJK bigram search, tail append), agent-decided content.
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Skill 安装、创建、本地化与迭代维护的元技能。当用户要求安装新 skill、创建 skill、把某个能力整理成 skill、修改/更新/优化/完善现有 skill、检查 skill 能否正常使用时使用;当其他 skill 在执行中遇到突发问题(编码、路径、格式、脚本报错等)并解决后,也加载本技能,把解决方案回流到遇到问题的 skill,并把核心知识登记到 references/knowledge-base.md。
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Local-first task outcome ledger & acceptance plugin for DeepSeek Harness (DSH): evidence-backed verification of task completion, zero extra model cost, user-owned sidecar data. 任务结果账本与验收插件:机械证据验收、默认零额外 token、数据本地持有。
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dsh 插件开发知识库:DeepSeek Harness 官方文档站完整 Markdown 镜像(中英双语 184 页)+ 58 篇仓库补充开发参考 + 主题导航与 245 文件全量搜索索引;以 dsh-plugin-dev-kb 技能让 agent 在插件开发任务中自动加载定位文档。纯数据插件,零运行时依赖。
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记忆搬家:把 Claude / ChatGPT / Claude Code 的历史记忆搬进 DeepSeek Harness —— 带逐字证据,逐条批准 | Move your Claude & ChatGPT memory into DeepSeek Harness (DSH), with verbatim evidence and one-by-one approval
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DSH plugin for DeepSeek Harness: 25 model tools across PubMed, Europe PMC, OpenAlex, PubTator3 & Semantic Scholar — cross-source unified search, article metadata, full text, citations, MeSH & ID tools, citation counts & recommendations — plus a personal literature knowledge graph with an AI-powered PubTator3 concept layer (normalized entities, curated relations, evidence-backed edges). Core PubMed capabilities originate from @cyanheads/pubmed-mcp-server; the knowledge-graph, concept and unified-search layers are original extensions.
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豆包式语音对话客户端插件:麦克风按钮→语音转文字发送→回复自动朗读(支持 Edge TTS / MiMo TTS / 自定义 TTS)。
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Persistent voice conversations for DSH with cloud speech recognition, Edge TTS, and background Agent delegation
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Local knowledge bases with explicit, source-backed retrieval for DeepSeek Harness Web.
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dsh-plugin: OMP-style ingress shaping plus optional local /fast-compact. Can replace DSH /compact and auto-compaction with a mechanical fold.
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DSH 本地知识库管理插件:多格式导入、智能分块、向量索引、混合检索、rerank、快照、kbpack 迁移(设计见 DESIGN.md v2.1)
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DSH 长期记忆插件:记忆库 + 会话蒸馏自动沉淀 + 设置面板,越用越懂你。守藏(Shoucang)单插件,panel + scheduler + 内嵌记忆技能。
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AI 系统的数据层:把 18 种来源(文档站/GitHub/PDF/视频/Notebook/Wiki…)转成结构化知识资产,导出到 22 种目标(Claude/Gemini/OpenAI/RAG 管道/编码助手);AI 驱动项目扫描生成配置。受 yusufkaraaslan/Skill_Seekers(14k★ MIT)启发。
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User message jump bar for the DSH web GUI: a minimap-style dash strip on the right edge of the conversation, hover for message preview, click to jump. · DSH Web 用户消息跳转条:对话区右缘 minimap 式横杠,悬停预览、点击跳转。
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Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens
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Local-first automatic Wiki and Skill distillation for DeepSeek Harness
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dsh-wiki
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DSH plugin: auto-supplement QMD semantic search when the model greps/globs a knowledge-base directory
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理解任何东西技能包(移植自 Understand-Anything)
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K12 capability substrate for DeepSeek Harness: 143 objectively-decidable capability anchors and 6,091 list items extracted from China's MOE 2022 curriculum standards, with local-only learner profiles
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Voice practice mode for the DSH web app: bilingual (中文 / English) conversation output plus read-aloud (TTS) and speech input (STT). Adds a 语音交流 dialog-mode toggle to the composer.
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Local-life toolkit for DeepSeek Harness agents: budget planning, bill splitting, unit-price and discount math, common unit conversions (incl. jin/li/chi, C/F), expense-ledger summaries, loan amortization (equal-payment / equal-principal), and trip checklists
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Evidence-backed working memory for DeepSeek Harness: a cited ledger of what already worked in this workspace, built from the session log you already have
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Freeze each round of a DeepSeek Harness conversation into a knowledge-base document