Plugins

DSH sidebar and panel for courses, tasks, plans, connections, course materials, automation and settings.

Personas, memory and opt-in proactive chat that resumes after restart for DeepSeek Harness Desktop. 社区预发布插件：白饭鱼女儿、角色记忆与重启恢复主动聊天。

DSH text-to-image/image-to-image plugin: compatible with OpenAI-style image generation APIs, with 多米API as the default; standard OpenAI endpoints may require protocol, image-to-image mode and size adjustments; text-to-image and URL reference images do not use COS, while local reference images can be compressed and stored in COS; custom prompt suffixes are supported.

Read-only GitHub research tools for the agent - repository search, repo health check (stars, license, last push, size, archived), dependency manifests, and single-file reads over the raw channel - plus an oss-reuse skill that makes the agent search GitHub and check real dependencies before writing code, so features are assembled from existing open-source projects instead of rewritten; nothing is cloned and no disk space is used.

Configures forward proxies per enabled provider in Settings (HTTP/HTTPS/SOCKS5), keeping unconfigured providers and other traffic direct.

DeepSeek Harness (`dsh`) 可视化本地游戏汉化插件 — 支持 Unity、RPG Maker、Ren'Py、Godot、WOLF、TyranoScript 六大引擎，提供原生玻璃窗口、双栏对照审校、多模型子 Agent 派发与 100% 读回安全写回。Visual game localization plugin for DeepSeek Harness.

Android remote access and multi-agent group chats for DSH, based on ds-harness-remote and DeepSeek-Bot

DeepSeek Harness 插件：把本机已登录的 WorkBuddy / WorkBuddy AI / Hermes Agent 大模型接入 DSH 模型库，显示与 Agent 一致的模型名称、积分倍率与免费额度。

Sends excerpts from recent Chinese Markdown conversation exports to the DeepSeek API (API key required) to generate a dream, saved as a local Markdown file.

Resumable JavaScript workflows with native child tasks, shared budgets and worktree isolation.

Opens the NeoXider Agent Deck desktop widget (chat, the slime pet avatar or the hinge handle) from a Harness session, and reports its mode, installed version, running state and whether it follows the same Harness.

Adds separate Chat and Work modes to DeepSeek Harness, embeds DeepSeek's official chat page, and provides an animated desktop companion with quick chat and task-completion notifications.

Whalesong Studio (鲸歌工坊): write a long novel with a crew of AI agents, then publish it as an illustrated website. A plugin for DeepSeek Harness.

DSHSH — a harness that harnesses your harness

Dead-loop / repetition detector for DeepSeek Harness agents — hard-interrupts text loops and same-topic search retries that soft reminders miss.

OpenAI-compatible image generation for DeepSeek Harness — text-to-image, image editing and batch generation, rendered straight in the conversation.

Persists unsent composer attachments per session, so images and files pasted into the input box survive page switches, conversation switches and app restarts: the bytes are mirrored in IndexedDB and handed back through the official createDrafts/addAttachments channel, and are dropped as soon as the message is sent or you remove them.

Adds native Codex OAuth sign-in, main-Agent default model selection, and direct or local-proxy settings for DSH Desktop 0.2.0-rc.2 on Windows.

星穹召唤 · DeepSeek Harness (dsh) 插件：二次元抽卡 + 和抽到的角色聊天 | A dsh plugin: anime gacha cards you can chat with

各个模型厂商/中转 实时显示账户余额插件

AI-agent-driven automated testing platform for DeepSeek Harness (dsh): drives the harness agent through long-lived multi-round sessions to write and run Markdown test cases, file bug reports, fix the code and re-verify the fix, with a per-project serial queue, a development board and built-in load testing.

Prompt library stored in the plugin config, with a Settings page and a composer picker: the ticked prompts are injected into every model step of that session, and a subagent inherits the selection of its nearest ancestor session.

Real-time inspector of the files the agent reads and edits, with a file tree, in the DeepSeek Harness right sidebar: M/A/R badges, side-by-side diffs and live agent activity tracking.

DeepSeek Harness (DSH) 推理等级自动选择插件：由 Jev System One 模型判断每条消息值多少思考量，按模型声明的等级自动推导档位，上下文信封让「继续」这类追问继承话题深度，低置信度向上取，任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model advertises, a fixed-size context envelope so follow-ups inherit topic depth, ties break upward, silent fallback on every failure path.