Discover The Best DSH plugins
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Find plugins for conversation memory, knowledge retrieval and context management.
@wxg-prc-cpg/dsh-weknoraWeKnora knowledge retrieval tools for DeepSeek Harness (dsh): semantic search, document reading and RAG/agent answers over your own knowledge bases.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Tencent/WeKnora#462999ec3f5c1467ef0ccf5cf8c422393f40a0e6&path:packages/dsh-weknora@agentscope-ai/remeReMe client and memory integrations for TypeScript agents
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:agentscope-ai/ReMe#01ef1a6efb6e84be29347334b9043ab284e0ca73&path:packages/typescript@zilliz/memsearch-dshMemSearch plugin for DeepSeek Harness: shared markdown memory across agents, with capture, pre-step context injection, memory-recall skill, and a skill-candidate review panel.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zilliztech/memsearch#f863056e0b113d44e860dd6abf5bb892781e29ca&path:plugins/dsh@mindmemos/deepseek-harness-pluginDeepSeek Harness (dsh) plugin that recalls and writes MindMemOS memories through the mindmemos CLI.
dsh-dejaRepository-root manifest for the DeepSeek Harness plugin that lives in extensions/dsh — the same package published to npm as dsh-deja. It re-exports the subdirectory so the plugin installs from a bare git URL or from github:vshulcz/deja-vu#path:extensions/dsh; the npm package is the shorter path. The repository itself is the Go project behind the deja binary.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:vshulcz/deja-vu@mnemon-dev/dsh-mnemonInstall the full dsh-mnemon integration from the Mnemon repository.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mnemon-dev/mnemonmanaged-agentsLocal-first, self-hosted AI agent runtime with Claude Managed Agents-style APIs, sandboxed sessions, memory, tools, audit, replay, and a local Console.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sandbaseai/sandbase-harnessdsh-x-memory文件式长期记忆：一条事实一个 Markdown 文件 + MEMORY.md 索引，按工作区隔离、会话级注入，给 agent 六个读写工具，设置页里可浏览与编辑。照 ZCode 那套记忆语义实现。File-based long-term memory for DeepSeek Harness — one fact per Markdown file plus a MEMORY.md index, per-workspace, injected per session, with six agent tools and a settings-page browser.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yyh-001/DSH-X#118edcb18860ce694e0d00dec3ca6c08fbb2f80a&path:plugins/dsh-x-memorydsh-x-sync把 dsh 的会话记录、附件、插件配置、技能和记忆同步到 S3 兼容存储 / WebDAV / 本地目录 / 单个 ZIP：和 DSH-X 启动器共用同一只桶、同一套目录结构，双向并集合并、不丢插件。Sync DSH sessions, attachments, plugin config, skills and memory to S3-compatible storage / WebDAV / a local folder / a single ZIP — same bucket and layout as the DSH-X launcher, merged in both directions.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yyh-001/DSH-X#118edcb18860ce694e0d00dec3ca6c08fbb2f80a&path:plugins/dsh-x-syncgraph-memoryKnowledge graph memory for DeepSeek Harness and OpenClaw — cross-session recall, PageRank, communities, and vector search
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:adoresever/graph-memorymisakanetMisakaNet failure-memory skill — evidence-rated failure lessons for AI agents. DSH bundle: registers the MCP tools as mcp__misakanet__* (misakanet_search/get_lesson/…), served by the public Streamable HTTP endpoint https://misakanet.org/mcp — live tools from an npm install, in any profile, with no local python. A profile that prefers the repo's own stdio server can override the bundle row.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ikalus1988/MisakaNet@ningbainb/dsh-memoryOwner-isolated, local-only memory with explicit confirmation and bounded SystemPrompt injection.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ningbainb/deepseek-harness-desktop#f30137e7d72942d2cd851a0fa0713f596ed06ad6&path:packages/dsh-memorydsh-mnemonComposable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:omdsh-dev/dsh-mnemon@huiliyi37/dsh-tianshu-tuidsh-tianshu-tui: an interactive terminal UI plugin for the official DeepSeek Harness — streaming markdown/tool cards, 16+ themes, slash commands, session tabs, LSP diagnostics, cost tracking, self-update (`dsh plugin --profile tui add @huiliyi37/dsh-tianshu-tui`)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:huiliyi37/dsh-tianshu-tui@furongjun1999/dsh-memory灵枢（Lingshu·líng shū）DeepSeek Harness 插件：完整大脑——长期记忆/知识飞轮/自我认知/递归反思接入 DSH，对话自动沉淀进 md_cg 认知图（md 文档）
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:FuRongJun-1999/dsh-memory@deepseek-ai/dsh-acpAutomation-only Agent Client Protocol server for driving DeepSeek Harness agents over JSON-RPC stdio
@deepseek-ai/dsh-acp-appThe dsh ACP profile bundle: automation-only JSON-RPC stdio and process lifecycle over dsh-base
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:See-Sol-Lab/DeepSeekGUI#f8fae741698467d001e73dab9f46355ead23a716&path:packages/bundle/acp-app@deepseek-ai/dsh-api-gatewayTypert Remote Host dispatcher and Client API endpoint
@deepseek-ai/dsh-api-remotesRemote BFF assembly for application-selected Host capabilities
@deepseek-ai/dsh-api-session-controllerSession Remote commands, cold reads, and live control transport
@deepseek-ai/dsh-api-settings-controllerRemote owner for the configuration surfaces over the settings-domain seams
@deepseek-ai/dsh-api-workspace-controllerWorkspace Remote commands and reconnect-safe state transport
@deepseek-ai/dsh-api-workspace-filesWorkspace file service and Client resource provider: bounded reads, directory listing, and live metadata over the workspaceFiles Remote namespace
@deepseek-ai/dsh-app-bootShared boot glue for the app bins: .env loading, fail-loud Loader guards, snapshot-aware config resolution, and the Loader boot sequence
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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.