dsh-feiyu-memoryLayered memory, mood, and bounded personality state for DSH.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add 'github:LINYT1416/dsh-feiyu-companion#5b08c6040dd2caf34f9c7f55f81b380d4e3a8d77&path:packages/memory'Discover The Best DSH plugins
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Find plugins for conversation memory, knowledge retrieval and context management.
dsh-feiyu-memoryLayered memory, mood, and bounded personality state for DSH.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add 'github:LINYT1416/dsh-feiyu-companion#5b08c6040dd2caf34f9c7f55f81b380d4e3a8d77&path:packages/memory'dsh-file-memoryNative layered memory for DeepSeek Harness with persona files, workspace scope, semantic recall, and background consolidation
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aqsk-BLG/dsh-memorydsh-floatboat-style将 Floatboat 的提示词工程精华迁移到 DeepSeek Harness:交付哲学、工具纪律、交付真实性契约、安全边界与委派/记忆纪律(作为 agent preset 的 prompt section 注入器)
dsh-hindsight-daemonHindsight 记忆服务的随行守护:DSH 启动时拉起本地 daemon,DSH 退出时连同嵌入式 PostgreSQL 一起清理干净,并在设置里提供独立页面。支持 Windows 与 Linux。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:FYTXY/dsh-hindsight-daemondsh-hindsight-localDSH web client plugin: a sidebar toggle to start/stop the local Hindsight memory daemon (hindsight-embed) for the DeepSeek Harness desktop app.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Hua1Q1nG/dsh-hindsight-local-optimizedsh-hippocampus给「大肥鱼」这类养成型 QQ 伴侣用的记忆层:事件编码、情绪加权遗忘、联想召回、关系与技能,还会承认自己记不清。Memory layers for a long-running companion bot.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kianajunjie/dsh-hippocampusdsh-historyRecall and re-run the current session's command history with ↑/↓ keys in the DSH Web composer.
dsh-im-qqQQ 官方机器人接入插件:让用户通过 QQ(私聊 / 群聊 / 频道 @)直接与 harness 完整 agent 对话(工具 / 记忆 / 子代理 / 文件系统 / 安全护栏,与 Web UI 同源)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:988hj7tczd-oss/dsh-im-qqdsh-infinite-contextDeepSeek Harness plugin: multi-tier memory management, semantic retrieval, structured memory, and model-context awareness for infinite context.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chocobo77/dsh-infinite-contextdsh-lane-bridgeDeepSeek Harness plugin: one chat/customer-support bot across QQ (SnowLuma), official QQ Bot, and Discord, with per-conversation domains, shared knowledge, and unified push.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add dsh-lane-bridgedsh-lanyaModular QQ character integration kit for DSH: NapCatQQ/SnowLuma, Bilibili, GPT-SoVITS voice, revisable memory and autonomy. Companion services required.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bamboosir1109/dsh-lanyadsh-layered-memoryDSH 跨会话长期记忆:命名空间隔离 + L1 索引注入(存在性编码)+ 行动验证写入 + 内容级近重复去重 + BM25 全文检索 + 跨命名空间提升 + 自动蒸馏候选 + 溯源/归档/回滚 + 自动维护。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DDDFXYqiming/dsh-layered-memorydsh-light-memoryDSH Web GUI 轻量记忆系统:四个大写 Markdown 文件(USER.md / PROJECT.md / WORKLOG.md / CONVENTION.md)+ 两个动作(append 流水 / distill 沉降)。零外部依赖,只用 Node 内置模块;文件可视化、可 diff、可 git 管理。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chidaic/dsh-light-memorydsh-lite-memoryDSH 简化版记忆插件:SQLite 条目化记忆(标题/重要程度/来源/内容,增删改查)+ 日历与到点提醒(月视图+时间轴+待执行/已完成双tab)+ 定时任务(cron 驱动的进程内调度:到点拉起会话跑提示词,表达式实时预览/立即运行/执行记录/启停),设置页记忆/日历/定时三子页,中英双语自动跟随。内置:记忆标题经 systemPrompt.context 动态注入为 durable user-role 快照(全局+当前项目,CRUD 后自动刷新),比静态 section 更省 token。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:SiriusWJ/dsh-lite-memorydsh-living-memoryLiving memory for DeepSeek Harness — self-tending knowledge base: nightly patrol, temporal decay, RRF hybrid recall, knowledge graph, telemetry. Built by 暖暖 (NuanNuan).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dearbld/dsh-living-memorydsh-log-memoryPopup-on-open + periodic reminder to save DSH session logs, with in-popup interval (10min-3h), backup folder & format (fish=raw .zstd / human=readable .txt) settings and one-click incremental copy. / 打开 Web 即弹窗 + 定时提醒保存 DSH 会话日志,弹窗内可设提醒间隔(10分钟-3小时)、备份文件夹与格式(鱼话版=原始压缩 / 人话版=可读聊天记录),一键增量复制。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:says693/dsh-log-memorydsh-maintainer-doc-guardKeeps a long agent turn answerable to the user's actual request: a standing maintainer-document reminder, two pre-execute gates (read a same-basename precedent before editing infrastructure; say what a side-effecting step is for), an objective anchor that quotes the user's latest instruction plus an explicit precedence rule, and a nudge stage that corrects before it blocks. Details: (1) A standing system-prompt section that tells the model to read the workspace maintainer documents (plan.md / conventions.md / stack.md / state.md / maintainer/README.md) before every operation, so small-model context compaction cannot erase long-term project memory. (2) A `tools/pre-execute` precedent gate that denies a write/edit inside a guarded infrastructure area until a working same-basename precedent has been read. (3) A `tools/pre-execute` intent gate that polices the turn's side-effecting calls when the model never said what the step is for. (4) An OBJECTIVE ANCHOR: the user's latest instruction, quoted verbatim in a second prompt section with an explicit precedence rule (user's latest instruction > your own last stated plan > a lead you found yourself), so a long turn cannot silently redefine its own task. (5) A NUDGE stage that corrects before it blocks — the first unexplained action only injects a reminder the model reads at its next step, a drift reminder fires once per long turn, and only a repeated offence is denied. Plus a right-sidebar tab that views and edits those documents, and ten runtime knobs exposed in the harness settings page (设置 → 插件 → 插件配置).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:huxin7735-collab/dsh-maintainer-doc-guarddsh-memoryCross-session persistent memory for the DeepSeek Harness: a model-facing memory tool, an always-on index section, and a bundled maintenance skill.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:guyuefangyuanl/dsh-memorydsh-memory_rolloutCodex-style per-session memory for DeepSeek Harness: qualified sessions auto-distill into per-session drafts (rollout_summaries); manual add/change/forget runs only on explicit user request; layered disclosure (summary + registry); idempotent integration watermark. / 一会话一草稿记忆插件:合格会话自动提炼草稿;手动增/改/忘仅在显式请求时执行;分层披露(总纲+注册表);幂等整合水印。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bionic-forest/dsh-memory_rolloutdsh-memory-gateRetrieved ≠ injected: CBDC-gated memory for DeepSeek Harness — decides how memory is USED (use/verify/ignore decisions, feedback learning, full audit); local SQLite + FTS5, bounded, no extra model call
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GIT121995/dsh-memory-gatedsh-memory-protocolMemory protocol enforcement plugin for DeepSeek Harness — forces memory_weave before tool calls, auto-ingests session turns, injects memory context into agent steps. Bridges the opencode-memory MCP server with a hard protocol gate.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:baaai123/dsh-memory-protocoldsh-memory-pyramid给 DeepSeek Harness 补上时间轴记忆:定宽只追加的事实日志 + agent 自己维护的摘要金字塔,固定阅读预算下 recall 成本不随记忆量增长。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:33moren33/dsh-memory-pyramiddsh-memory-search-plusLocal, cross-session full-text search for DeepSeek Harness conversations: SQLite FTS5 indexing with Chinese word segmentation and accurate message-level jump targeting
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:the-thinker0/dsh-memory-search-plusdsh-memory-self-evolutiondsh自动进化记忆系统
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:CJL-1995/dsh-memory-self-evolutionUse a feature keyword or category, then sort by recent updates or GitHub stars.
Read the description, AI analysis and original README to understand what a plugin does.
Review compatibility, dependency ranges and instructions, then copy the available install command.
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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.