dsh-project-knowledge-review中文 DSH 本地知识复习插件:零配置资料库、证据优先问答、Markdown 摘要与二次分类。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HeWhenJay/dsh-project-knowledge-reviewDiscover The Best DSH plugins
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Find plugins for conversation memory, knowledge retrieval and context management.
dsh-project-knowledge-review中文 DSH 本地知识复习插件:零配置资料库、证据优先问答、Markdown 摘要与二次分类。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HeWhenJay/dsh-project-knowledge-reviewdsh-project-memoryEvidence-backed, human-approved project memory for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:luoyuejun9/dsh-project-memorydsh-project-memoryProject-scoped AI memory: records pitfalls and user habits per project, injects them into future conversations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xiaozhugez/dsh-project-memorydsh-project-workbenchLocal project, requirement-group, and conversation workbench for DeepSeek Harness Web and Desktop
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:937862061/dsh-project-workbenchdsh-prolong-memoryPRO-LONG-style programmatic memory for DeepSeek Harness: appends every session event to a per-workspace log.txt that the agent retrieves with grep/python. Built-in write probe, /prolong status command and permission-deny counter.
dsh-prompt-self-clientPersonal prompt profile engine for DeepSeek Harness: message-level prompt rewriting and automatic profile learning with a bilingual settings panel and conversation dock.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Hua1Q1nG/dsh-prompt-selfdsh-qinput-historyPersistent input memory for DeepSeek Harness: arrow-key history switching in the composer (shell-style) plus automatic draft snapshots that survive crashes or failed submissions.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:2128627267/dsh-qinput-historydsh-qknowledge-baseLocal knowledge base for DeepSeek Harness: document CRUD, keyword search and a kb_search model tool.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:2128627267/dsh-qknowledge-basedsh-recallConversation history recall for DeepSeek Harness: search the original text of every session (like searching chat records) — literal/fuzzy/semantic retrieval, fully local & offline. AI never forgets what you told it.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Relistencode/dsh-recalldsh-recall-unreadDeepSeek Harness plugin: recall sent-but-unread text messages before the model reads them.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hg1048596-pixel/dsh-recall-unreaddsh-rememberCross-session long-term memory for the DeepSeek Harness: a two-phase extraction/consolidation pipeline over a file-based memory workspace, recall injection, a citation feedback loop, lease-based job semantics, plus a settings page, a sidebar status panel and a memory viewer.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Arborsm/dsh-rememberdsh-research-atlasBaigong research continuity tools for DeepSeek Harness: persistent tasks, evidence and stage handoffs across executors.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:David7583/baigong_research_atlas#a0ae29506a9921b89cb60237a38bd93e2e5e20a2&path:plugins/dsh-research-atlasdsh-research-autoresearchAutoResearch suite for DeepSeek Harness: arxiv recall, LQS scoring, research state panel, stall guardian, five-persona peer review, plus the research-ui visualization feature-switch control plane.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yuan-source-666/dsh-research-autoresearchdsh-runtime-observabilityRuntime metrics and correlation API for DeepSeek Harness observability.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tianjiqx/dsh-runtime-observabilitydsh-sciforkA Git-native research graph for literature-grounded research expansion inside DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhang-bin-98/sci-forkdsh-secret-redactorSensitive-information redaction for DeepSeek Harness: masks API keys, bearer tokens, JWTs, private keys and configured secrets in every tool result shown to the model, plus a redact_text tool and a redact RPC. · DSH 敏感信息脱敏插件:自动掩码工具输出中的 API key / token / 私钥 / 配置密钥。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DamonKoy/dsh-plugins#48110ca2779b59d36edec46c8aff97b6a50322aa&path:packages/dsh-secret-redactordsh-self-improvementDSH cross-session self-improvement: memory, error/session retrospectives, SOP extraction and improvement proposals
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dxxCaO/dsh-self-improvementdsh-session-assistantSession-scoped full-duplex voice assistant with tool-controlled drafting and Agent submission for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:AlexKaiqi/dsh-session-assistantdsh-session-browserDSH plugin: same-workspace cross-session read-only browsing for models — list_sessions / read_session / search_sessions tools with strict cwd scoping, UNTRUSTED snapshot marking, and bounded budgets (optional SQLite FTS full-text search).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DDDPG/dsh-plugins#543d4b046af0c67602be6d16cba7f6ed94239247&path:plugins/dsh-session-browserdsh-session-importCross-tool session migration plugin for the DeepSeek Harness (dsh): high-fidelity ingest, continue, knowledge extraction, bidirectional export, privacy redaction.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:devmom/dsh-session-importdsh-session-linkSession reference plugin for DeepSeek Harness: one-click copy of the current session's @session-id reference in the header, an @ mention menu that lists sessions by title, and a session_read tool that reads any local session by @session-id / dsh-session:URI / @title and projects it to readable conversation text — no more download-transfer-unzip to share context between sessions.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jinhuang712/dsh-session-linkdsh-session-recoveryRecover deleted/corrupted dsh sessions (session.jsonl.zstd) and memory (memory.db) straight from the raw disk. Battle-tested recovery manual + scripts + a /session-repair command plugin for the dsh web UI.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Coprexist/dsh-session-recoverydsh-session-status-alertDSH web plugin: cross-workspace session status alerts — floating capsule toasts (aligned with the composer) above the current workspace when any session completes or enters a pending interaction (approval / ask_user_question / plan-review). Inline approval & question answering right in the toast, click-to-switch-workspace, configurable layout (stack / inline / grouped manager), subagent completion filter, settings page, i18n zh/en.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DDDPG/dsh-plugins#543d4b046af0c67602be6d16cba7f6ed94239247&path:plugins/dsh-session-status-alertdsh-skill-manageDSH skill_manage: agent-managed procedural memory. Create/patch/edit/disable/delete skills in ~/.dsh/skills (user scope) or <projectRoot>/.dsh/skills (project scope), with validation, delete guards (agent-created marker, pin, path confinement), disable/enable via disable-model-invocation, and an English trigger-discipline system prompt section. Built on top of skill-filesystem's hot-reload watcher.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:fuxin123z/dsh-skill-manageUse 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.
DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.