@proactive-agent/dsh-proactive-memoryProactiveAgent memory plugin for DeepSeek Harness: native memory tools + persona section + context injection
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@proactive-agent/dsh-proactive-memoryProactiveAgent memory plugin for DeepSeek Harness: native memory tools + persona section + context injection
@proactive-agent/dsh-proactive-skillsExpose ProactiveAgent sop memories as dsh skills via skill provider
@proactive-agent/dsh-proactive-suggestProactiveAgent suggestion engine for DeepSeek Harness: session event → evaluateNow triggers
@proactive-agent/dsh-proactive-uiProactiveAgent 客户端 UI:turnTail 记忆状态卡片(S2b 最小原型)
@qihongmu/dsh-client-remotes-scheduled-taskExternal user plugin: browser assembly that mounts the vendored scheduledTasks Remote contribution before the scheduled-tasks UI entry activates (plugin-scoped counterpart of the in-repo dsh-api-remotes assembly).
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qihongmu/dsh-plugins#fe6258d442f08d304583c18637b402c9e6455ece&path:packages/scheduled-task/remotes@qihongmu/dsh-client-remotes-token-tracingExternal user plugin: browser assembly that mounts the vendored tokenTracing Remote contribution (including the follow stream) before the token-tracing UI entry activates.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qihongmu/dsh-plugins#fe6258d442f08d304583c18637b402c9e6455ece&path:packages/token-tracing/remotes@qihongmu/dsh-client-ui-scheduled-taskExternal user plugin: scheduled-tasks sidebar panel (browser half), self-mounts the scheduledTasks Remote via ctx.remote.$mount. No changes to the dsh library.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qihongmu/dsh-plugins#fe6258d442f08d304583c18637b402c9e6455ece&path:packages/scheduled-task/client@qihongmu/dsh-client-ui-token-tracingExternal user plugin: token-tracing conversation tab (browser half) — per-turn usage summary, turn list, and attempt drill-down over the tokenTracing Remote. No changes to the dsh library.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qihongmu/dsh-plugins#fe6258d442f08d304583c18637b402c9e6455ece&path:packages/token-tracing/client@qihongmu/dsh-plugins-scheduled-taskExternal user plugin: global scheduled tasks for DeepSeek Harness (host Service + scheduler + Remote surface), no changes to the dsh library.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qihongmu/dsh-plugins#fe6258d442f08d304583c18637b402c9e6455ece&path:packages/scheduled-task/host@qihongmu/dsh-plugins-token-tracingExternal user plugin: per-turn token tracing for DeepSeek Harness (session-event fold engine + rollup storage + Remote surface with a live stream), no changes to the dsh library.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qihongmu/dsh-plugins#fe6258d442f08d304583c18637b402c9e6455ece&path:packages/token-tracing/host@rain/minimal-omniMinimal-by-default capability bundle for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Rainflowers686/deepseek-harness-minimal-omni@reddapi/dsh-reddit-radardsh plugin: periodic Reddit lead radar backed by reddapi.dev
@robauto/dsh-growthRobauto is a Growth Agent. It works the agent economy on your behalf — trading signal, authority and revenue with other agents, around the clock.
@royenheart/dsh-plugin-mcp-supportThin, non-duplicating dsh wrapper over the native @deepseek-ai/dsh-mcp-client bridge: composition- and settings-driven MCP server mounts.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:royenheart/dsh-plugin-mcp-support@ryubyte/dsh-a2aAgent2Agent (A2A) protocol v1.0 plugin for DeepSeek Harness (DSH): outbound client (remote AgentCard skills as ctx.tools), inbound server (A2A JSON-RPC + AgentCard endpoint), and a settings dashboard of live A2A connections
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ryubyte/dsh-a2a@s2p2/dsh-grilling-cardRich grilling/interview question card for DSH: recommended answers, one-click accept, round-at-a-time, frontier meter. MCP-elicitation-compatible.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:S2P2/dsh-lab#8f3657b95ca37484d03b90f5bfa7c0cef28d822a&path:packages/dsh-grilling-card@sduwall/dsh-wall-mcp-managerDSH 插件:集中管理 MCP 服务配置,并展示每个 MCP 的工具清单、参数与返回契约
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sduwall/dsh-wall-mcp-manager@shion-lab/dsh-plugin-mcpAnthropic Model Context Protocol (MCP) client bridge plugin for DeepSeek Harness (dsh).
@shion-lab/dsh-plugin-multimodal-bridgeDynamic multimodal-to-text projection and cross-model vision bridge for DeepSeek Harness (dsh), allowing seamless hot-switching between vision models (Gemini/Claude) and text-only models (DeepSeek).
@shuaihaov/dsh-mcp-skill-controlDSH Web GUI 的 MCP 管理面板:查看 MCP 服务器连接状态,停用/启用/重启(可选重启持久)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:shuaihaoV/dsh-mcp-skill-control@shuaihaov/dsh-theme-wandering-earth-2The Wandering Earth II (流浪地球2) cinematic HUD theme for the DSH Web GUI: sunken planet-engine artwork, ignition state bridge, starfield HUD overlay.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:shuaihaoV/dsh-TheWanderingEarthII@softspark/dsh-file-previewRead-only in-conversation file preview for DeepSeek Harness: a session-authorized host Remote and a sanitizing browser modal, installed as one profile bundle.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:softspark/dsh-file-preview@staavanothanh/dsh-cbmDSH adapter for codebase-memory-mcp
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:staavanothanh/dsh-cbm@stuga/dsh-pluginConnect a DeepSeek Harness profile to Stuga: its MCP tools, the key's workspace and its conventions in the system prompt, and playbook skills for reviewed edits.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:stuga-dev/agent-plugins#7a9d46a7f38725471941487253adc8cc2325fc4c&path:packages/dsh-pluginUse 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.