@dsh-memory/consolidateCLS-style replay consolidation pass with LLM summarizer and deterministic fallback
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Agent collaboration · DeepSeek Harness plugins — Page 76
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@dsh-memory/emit-contextMneme context backend: compile state and recall evidence into agent context at session start and pre-step
@dsh-memory/emit-skillMneme skill backend: lower active policy nodes into the DSH skill registry
@dsh-memory/emit-toolMneme tool backend: memory_remember/recall/list/forget/trace model tools
@dsh-memory/extractRecMem-gated LLM claim extraction pass with replay-logged raw output
@dsh-memory/fdoFeedback-directed optimization: recall/confirm signals update salience and retrieval weights
@dsh-memory/index-graphGraph candidate index over claim/relation facts with PPR-style spreading activation
@dsh-memory/index-replayMneme replay search backend: sessionQuery FTS hits mapped back to ledger nodes with literal fallback
@dsh-memory/index-vectorVector candidate index as a disposable projection cache with deterministic fallback
@dsh-memory/irMneme memory intermediate representation, ctx.memory engine, and pure compiler folds
@dsh-memory/layersMemGPT-style layered allocation policy
@dsh-memory/linksA-MEM-style note linking: shared subjects become relation nodes
@dsh-memory/lowerMneme front-end pass: lower DSH session events into typed memory IR nodes
@dsh-memory/optimizeMneme optimize pass: TTL forgetting, contiguous-run consolidation, and catalog budget
@dsh-memory/projectionsSession projection pass: memory/catalog and memory/stats over DSH sessionProjections
@dsh-memory/solveMneme solve pass: version resolution, evidence conditions, and activation analysis
@dsh-plugin-hub/cliCreate, search, install, and apply versioned DeepSeek Harness plugins and profiles
@dsh-plugin-hub/dsh-pluginDSH tools for planning and applying reproducible Plugin Hub Profiles through the local dsh-hub CLI
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:pax-beehive/dsh-hub-cli#7147202dfcd32dc18ba39db21e8fe1181ad6c996&path:packages/dsh-plugin@dsh-plugin-hub/registryVersion resolution and profile planning for DSH Hub
@dsh-plugin-hub/schemasPortable DSH bundle, profile, and Hub API schemas
@dsh-plugin/dsh-review-loopIncremental diff reviewer for DeepSeek Harness — Web UI review panel + /review command. 增量代码审查插件：checkpoint 增量队列 + 审查意见注入 agent.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wuxiangru915/dsh-review-loop@dsh-plugins/4uDSH Plugins 4U 总插件：在设置中展示本仓库的自定义插件目录
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:honghudavy-star/DSH_plugins_4U@dsh-skin-studio/galleryDSH Skin Studio — 皮肤中心（浏览 / 试穿 / 应用 / 上传皮肤 + 内置 7 款皮肤主题 + /skins 静态资源路由）
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:daboge-beach/dsh-skin-studio#c3a7c8351d02055b0b21e591f6def879b330bbcc&path:packages/gallery@dsh-skin-studio/typesTypeScript type definitions for DSH Skin Studio
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Questions about DSH Hub
What is DSH Hub?
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.
Does inclusion mean a plugin is tested and compatible?
No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
How do I install a plugin?
Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.