Discover The Best DSH plugins

DeepSeek Harness plugins — Page 568

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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.

@zy-ultimately/dsh-knowledge-base

Global knowledge base for the dsh web GUI: upload PDF/Word/Excel/PPT/TXT/MD/CSV/HTML documents, pure-JS text extraction + BM25 keyword index persisted to disk, a right-edge management panel, automatic retrieval injected into every session (agent/pre-step) plus a knowledge_base_search model tool, and source citations. Zero native/vector dependencies; embedding backend can be layered on later.

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zy-ultimately/dsh-knowledge-base
@zzc/dsh-node-sched-ui

dsh client plugin: full-screen sched dashboard — batch grid with segmented progress, GPU panel, live event stream, dry-run-gated submit

Interface extensions
@zzdream67/dsh-vision-bridge

Let text-only models see images in DeepSeek Harness: intercepts the llm/stream waterfall and transparently substitutes each image with a vision model's description.

Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zzdream67/dsh-vision-bridge
@zzxxxxxx/dsh-balance

Live DeepSeek API balance and time-to-empty for the composer dock — a platform reading used as an anchor, decremented by this machine's own token spend and priced by peak/off-peak rates. | DeepSeek API 余额实时显示与可用时长估算:以平台读数为周期锚点,用本机 token 消耗实时递减,并按峰谷定价估算 ETA。

Financial data
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zzzxxxxxxxxxx/dsh-balance
@zzxxxxxx/dsh-dcp

Dynamic context pruning for DeepSeek Harness — model-driven compaction and duplicate-output pruning. | DeepSeek Harness 的动态上下文裁剪:模型驱动的压缩与重复工具输出去重

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zzzxxxxxxxxxx/dsh-dcp
4d4y-browser

Permanent 4D4Y forum browser: fetches the real Discuz 7.2 interfaces (index / forumdisplay / viewthread), decodes GBK, parses, and renders a browser panel beside the sidebar with a sidebar entry button.

Vision tools · Interface extensions
acp-extension-dsh

ACP session controls and coding profile for DeepSeek Harness

Agent collaboration · Developer tools · Productivity
acryl-dsh-editor-plugin-web

DSH web plugin: a VS Code-style code editor view (file tree, Monaco, ripgrep search/replace, Markdown preview, git diff).

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:acryldev/acryl-dsh-editor-plugin-web
acryl-dsh-editor-plugin-web

DSH web plugin: a VS Code-style code editor view (file tree, Monaco, ripgrep search/replace, Markdown preview, git diff).

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:cordisplugins/acryl-dsh-editor-plugin-web
adb-dsh-plugin

DeepSeek Harness tools for controlling Android devices through ADB

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mang0cola/adb_dsh_plugin
agency-agents-zh-dsh-plugin

DeepSeek Harness (dsh) plugin: registers the agency-agents-zh Chinese AI expert agent library (268 roles across 20 departments) as native skills

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:RHY006/agency-agents-zh-dsh-plugin
agent-development-constraints

Self-evolving development constraints for AI coding agents — installs a rule library and injects it into every step.

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:962599627/agent-development-constraints
agent-guard-dsh

Destructive-action reliability layer for AI agents on DeepSeek Harness: intercepts Bash before execution, quarantines deletions to .agent-trash/ with a restorable manifest, snapshots git before overwrites, and escalates compound shapes to the human (Decision Protocol: ALLOW / RELOCATE / SNAPSHOT / ASK / BLOCK). Rules live in one Python core shared across harnesses.

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mokuyoaxis/agent-guard
agent-jit

Agent JIT: a compiler/runtime that offloads deterministic execution paths from LLM agent loops.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sybolization/agent-jit
agent-mode-change

Agent-mode floating window for DeepSeek Harness (dsh): switch a session's system prompt between the harness's own prompt and 13 archived coding-agent CLI prompts (Claude Code, Codex CLI, Antigravity, Grok, Kimi, MiniMax, opencode, Pi…) from a draggable Web-UI panel. Cordis bundle, log-safe via the official /agent command.

Agent collaboration · Interface extensions · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:deepseekharness-dsh/agent-mode-change
agent-preset-graph-xww

Live node-graph view of what an Agent preset is made of, drawn as a DSH conversation view.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:laojingwei/agent-preset-graph-xww
agents-in-the-loop

DSH plugin: cross-session call center for agents. session_message delivers messages between DSH sessions (idle: visible full-text wake; busy: mid-turn-safe notice; plus runtime-context notes) and contacts is a named directory over session ids — resolve/call/manage contacts by alias, self-register by name only. Formerly taskboard-flow (board triggers/triage/task engine removed in v1.0.0). Config is file-based (cordis composition) — no web UI.

Agent collaboration · Interface extensions · Productivity
agnes-ai-for-dsh

Agnes AI integration for DeepSeek Harness - LLM provider with multimodal support and GUI settings panel

Vision tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wangyemen/agnes-ai-for-dsh
agpa-dsh-plugin

AGPA (Agent Player Achievements) for DeepSeek Harness — native achievement_* tools bridging the AGPA engine, plus automatic event tracking from dsh session events

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:eiainano/agpa-dsh-plugin
ai-eight-honors-eight-shames

DeepSeek Harness plugin that registers the ai-eight-honors-eight-shames skill — nine checkable working rules for AI coding agents.

Skills · Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:w2310670047-code/ai-eight-honors-eight-shames
ai-look-up

AI Look-Up: mid-run self-review nudges and real local-time anchors for aimless AI coding agents (ZCode plugin + DeepSeek Harness bundle).

Agent collaboration · Notifications · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:1344738825/ai-look-up
aiko-dsh-bid-studio

Installable Bid Studio workbench for DeepSeek Harness, powered by the Aiko Ontology Kernel.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aiko-dsh-plugins/dsh-bid-studio
aiko-dsh-ontology-kernel

Installable Ontology Kernel for DeepSeek Harness with durable local storage and typed browser remotes.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:aiko-dsh-plugins/dsh-ontology-kernel
aios-plugin-forma

Self-contained Forma self-building bundle for local DSH profiles

Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:BioAIEvolu/aios-plugin-forma

Find the right plugin, then get started

  1. Search by task

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  2. Explore capabilities

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  3. Check and install

    Review compatibility, dependency ranges and instructions, then copy the available install command.

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.