dsh-compact-activityCodex-style one-line disclosures for DeepSeek Harness reasoning and tool activity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wallpap/dsh-compact-activityDiscover The Best DSH plugins
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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.
dsh-compact-activityCodex-style one-line disclosures for DeepSeek Harness reasoning and tool activity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wallpap/dsh-compact-activitydsh-compact-after-taskAuto-compact a DSH conversation after the current task finishes, at a user-set context threshold.
dsh-compact-and-branchDSH /compact-and-branch command: canonical compaction into a fresh continuation session.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zeropointnine/dsh-compact-and-branchdsh-compact-buttonDSH web plugin: adds a one-click Compact button to the conversation context meter panel; clicking it submits /compact to summarize older history.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:shyuan-hub/dsh-compact-buttondsh-compact-chat-uiDSH web plugin: a settings card to tune chat reading density — font size, line height, and block spacing of the conversation area (assistant markdown + user bubbles), applied live. The composer and the rest of the shell keep their native sizes.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:secyborg/dsh-compact-chat-uidsh-compact-modelDSH host plugin: makes /compact use a user-chosen provider/model instead of the session's chat model, configurable in Settings.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mimajiushi/dsh-plugins#1aa8b9d851070af475ca10703d84c000562ef8d7&path:plugins/dsh-compact-modeldsh-compact-saviourDedicated-model compaction rescue and manual compaction in the native context popup
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aa2246740/dsh-compact-saviourdsh-compact-selected-modelDeepSeek Harness plugin: /compact and auto-compaction summarize with the model currently selected in the session, not the model that finished the last turn
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:DenAbr/dsh-compact-selected-modeldsh-compaction-codexCodex-style window-swap compaction engine: deterministic pointer-template summaries with zero LLM calls, replacing the default LLM-summary compaction.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:r-ayin/dsh-compaction-codexdsh-compaction-effort-inheritDSH plugin: compaction keeps the session's reasoning effort, so DeepSeek's prefix cache still hits instead of re-billing the whole context.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:rezon-aki/dsh-compaction-effort-inheritdsh-compaction-fidelityBilingual DSH compaction backend with lexical fidelity metrics, compensation, and project architecture retrieval.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:TLNing260310/dsh-compaction-fidelitydsh-compaction-policyGlobal 90% native compaction for DeepSeek Harness: summary-first pressure and reversible integration without extra presets.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:huohua-dev/dsh-compaction-policydsh-compaction-policyPut DSH's automatic context compaction trigger where you want it, per provider/model. Stops DeepSeek Harness from condensing a conversation far earlier than the configured threshold on models with smaller context windows.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zyd232/dsh-compaction-policydsh-compaction-proHigh-fidelity, faithful, bilingual, recursive compaction backend for DeepSeek Harness — a drop-in upgrade over dsh-compaction-basic.
dsh-compaction-routePick the conversation-compaction summarizer in the DeepSeek Harness Web settings page, and give it a fallback model for when the primary cannot take the replayed history.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:643048695/dsh-compaction-routedsh-compactorContext Compaction plugin for DeepSeek Harness: tool-result pruning, LLM or offline-rule summarization with a user-facing compression report, dead-loop guard, and /restore rollback.
dsh-companionA friendly status and context-pressure companion for DeepSeek Harness Web
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gjnzsu/dsh-companiondsh-companionRead-only workspace and session JSON API for DeepSeek Harness clients
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:leonardoxr/dsh-companiondsh-companion给 DSH 助手赋予人格:伙伴模式(独占人设与记忆、轻量工具)、伙伴设置页与按会话注入。Give your DSH assistant companions with exclusive persona, memory, and a light tool set.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:s867968286/dsh-companiondsh-companionA local, state-aware desktop companion overlay for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Wanbinyu/dsh-companiondsh-company-kbDSH local folder knowledge base: manual-sync indexing, Chinese hybrid retrieval, explicit-invocation gate, in-panel Office preview, and a Web panel.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wu81313-lab/dsh-company-kbdsh-compat-guardianPlugin conflict detection, quarantine, recovery and offline rescue for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Han-1413141/dsh-compat-guardiandsh-compat-marketDSH 插件市场:浏览官方与社区插件,装之前先给出兼容性结论,一键交给官方安装管线。Plugin market for DeepSeek Harness: browse official and community DSH plugins with a compatibility verdict, and install them through the official plugin manager.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lpf0404/dsh-compat-marketdsh-compat-probeDeepSeek Harness plugin: one compat_probe tool that probes an OpenAI-compatible base URL and returns a structured protocol card
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jwilson411/dsh-compat-probeUse 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.