Plugins
Browse, filter, and install DeepSeek-Harness plugins.
375 plugins found
dsh-honcho-sync
nanpaidashi/dsh-honcho-sync
Honcho memory bridge: auto-syncs every conversation turn to a self-hosted Honcho service, with recall/search/remember/context/status tools, context injection on session start, and a visual settings panel.
dsh-layered-memory
junnanlys/dsh-layered-memory
Layered memory pipeline for DSH: auto-distills conversations into atomic facts, scene summaries and a persona profile (L0–L3), with hybrid BM25 + vector retrieval, chat/work family separation, and context injection before each model step.
dsh-knowledge-base
htcqp802/dsh-knowledge-base
General-purpose knowledge base for DSH: import md/txt/json/yml/docx/pdf, folder management, FTS5 full-text search (BM25), and a Web management UI.
dsh-drop-to-path
loudmore/dsh-drop-to-path
DSH 插件:图片与文件直达纯文本模型——图片保留原生附件体验,PDF/Office/压缩包/视频/音频显示为附件栏方块,点击发送时自动转为工作区路径,配合 dsh-vision-toolkit 粘贴即看图。A DSH plugin that delivers images AND files to text-only models as workspace paths: images keep the native attachment UI, other files show as square chips in the rail, paths append on send — pairs with dsh-vision-toolkit.
dsh-mcp-manager
hyqhyq3/dsh-mcp-manager
MCP server manager plugin for DeepSeek Harness: Settings → MCP page, OAuth (PKCE + dynamic client registration) or static-token auth, tools registered as mcp__<name>__*
dsh-plugin-call-me
radres/dsh-plugin-call-me
Rings your phone over CallKit: `call_me` and `text_me` tools, plus optional turn-end and approval calls whose spoken answer is transcribed back into the session.
dsh-memo
lesliechowsh/dsh-memo
Memo — session memory search for DeepSeek Harness agents: cross-session full-text recall (memo_search), distilled notes (memo_remember), and corpus stats (memo_stats) over the official sessionQuery service. Zero infrastructure, local-first.
dsh-ocr-local
balcoz/dsh-ocr-local
Local OCR for DeepSeek Harness: paste/attach an image, get its text via PP-OCRv5 + ONNX Runtime, fully offline. TUI (cc-tui) and Web. / DeepSeek Harness 本地 OCR 插件:图片转文字,PP-OCRv5 + ONNX Runtime,完全离线,支持 TUI 与 Web。
dsh-vision-bridge
sfyyy/dsh-vision-bridge
On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
tuning-engines-cli (tuningengines-dsh-plugin)
cerebrixos-org/tuning-engines-cli
Exports metadata-only DSH turn, model, tool, approval, retry, and error events to Tuning Engines for governed traces, policy evaluation, cost analysis, and Work Session review, with a disk-backed retry queue.
oss-prompt-optimizer
seven282/oss-prompt-optimizer
Turn a casually written sentence into a four-section (Role / Task / Context / Format) or plain-text professional prompt via the harness llm service. Situation-aware role / task / goal profiling keeps ##Role tied to the task; /dream appends a clearly labelled AI-inferred insights appendix; /template covers 21 sub-scenes with zero model calls; input-box ✨ one-click optimize / undo, prompt_optimize tool (optimize + iterate), auto-optimize hook, auto-detected zh/en role document.
dsh-auxiliary
dsh-plugins/dsh-auxiliary
Dedicated model routes, tools, and system guidance for vision, compaction, reviews, subagents, titles, and image generation.
dsh-history
chenproton/dsh-history
Browse every message you sent in the current session: full-history listing with newest-first sort, text filter, one-click copy, and jump to a message (auto-loads earlier history when the target is not yet loaded).
dsh-llm-newapi
wenzetan/dsh-llm-newapi
NewAPI (OpenAI-compatible gateway) LLM provider: registers a `newapi` route with chat-only model discovery, auto-fills model parameters (context window, reasoning effort) from models.dev, and adds a Web settings section for the base URL and API key.
dsh-mcp-lens
labmimors/dsh-mcp-lens
Progressive-disclosure MCP gateway that searches large remote catalogs through `mcp_search`, then invokes exact schemas through `mcp_call` with lazy connections and bounded caches.
deepseek-harness-qqbot
sliverp/deepseek-harness-qqbot
QQ Bot text and image channel plugin for DeepSeek Harness
dsh-telegram-relay
congchuanling-dot/dsh-telegram-relay
DSH Relay 让你可以通过 Telegram 远程与 DeepSeek Harness 对话,并接收通知。DSH Relay turns Telegram into a remote conversation and notification channel for DeepSeek Harness.
dsh-composer-history
perrylink/dsh-composer-history
Terminal-style input history for the web composer: edge-first arrow-key recall with exact draft/caret restore, browser-local persisted history, Ctrl+R reverse search, and sliding-context awareness; 0.5.0 adds a smart input layer — cross-session snippets (/save, /load), prompt templates with variables, reuse insights, and compaction-summary highlighting.
nowledge-mem-deepseek-harness
nowledge-co/nowledge-mem-deepseek-harness
One memory layer for every AI tool and agent: Context Bundle injection, prompt-time recall, MCP tools, and turn-end DSH thread capture.
dsh-pdf-edit
whatsmore-nf/dsh-pdf-edit
PDF document editing plugin for precise text editing in PDF files.
GraphFlow
roarpeng/graphflow
Local-first code knowledge graph for coding agents: 10 MCP tools for layered context compression, DAG planning, incremental AST indexing, a cross-session skill flywheel, diagnostics, and graph artifact import/export.
capital-generation (dsh-plugin)
v587d/capital-generation
China A-share financial data MCP server for the harness: 11 fin_data__* tools (quotes/K-lines/financials/calendar/special-data/announcements/EDB/reconcile/funds/indices) over THS free official REST (primary) + AKShare (fallback) + Wind (exclusive domains), with observable degradation, context-budget compression (result-side -72.2% measured), and an offline 10-year market-data lake; BYOK.
dsh-model-meta-autofill
qjag1024/dsh-model-meta-autofill
DSH plugin: auto-fill metadata (context length, output cap, display name, input modalities) for custom-provider models from the Model Metadata Registry (models.dev).
dsh-mcp-skill-panel
lilyblessing/dsh-mcp-skill-panel
MCP & Skill manager: enable/disable MCP servers and skills from a Settings panel to free context in real time; optional AI middle layer (mcp_search/mcp_call) calls disabled servers on demand, with state-based visibility filtering that keeps user-enabled servers visible.