Plugins

Unified image generation router for DeepSeek Harness (DSH): auto-discovers image models from any OpenAI-compatible endpoint, provides draw_image and draw_list_sources tools, supports SenseNova, StepFun, Agnes, Qwen, Flux, SD, Imagen and more.

Renders pasted/uploaded images inline in the DSH Web chat and gives text-only models vision: the model-invokable visual_review tool calls any OpenAI-compatible multimodal API first, falling back to a local Qwen3-VL worker.

Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).

Real-time token billing for DSH web: official DeepSeek CNY pricing with automatic peak/off-peak switching, hourly price sync from the official site, visual custom model prices, and multi-currency fallback.

Model sampling sliders (temperature / maxTokens) in the composer: override every model request for all providers via the agent/request hook, with hot/persist modes.

Session header badge showing DeepSeek peak/off-peak status, per-model token prices on hover, and real session/turn costs from actual usage.

Use local Codex App Server as a model provider in DeepSeek Harness

一个可以让ai自动调用VLM(多模态模型)进行视觉分析的dsh插件。A dsh plugin that allows AI to automatically invoke VLMs (multimodal models) for visual analysis.

Hosted free vision sidecar for DeepSeek Harness with durable session evidence

A corner HUD for DeepSeek Harness that shows your session's token pressure, per-model cost, and daily/monthly usage at a glance, with an editable budget and balance that tracks spending for you. 右下角常驻的 Token 仪表盘：实时看会话压力、按模型估算花费。预算和余额点一下就能改，每天每月用了多少都有记录。

Bridges session images to configurable vision providers and returns text-only analysis to eligible DeepSeek Harness model routes.

DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth

DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth

Deterministic keyword routing, allowlisted model switching, and an isolated image_gen channel for DeepSeek Harness.

Adds a squeeze tool: the agent hands a long web page, a batch of pages, a text file or a text PDF (via pdftotext) plus one question to a helper model and gets back only the answer, so the material never enters the chat. A settings page picks up to three helper models from the DSH model list, each with a nickname, a fixed thinking level and a "when to use" note, with optional fallback and size limits taken from each model's context window.

Sanitizes fetched pages before the model reads them: strips hidden text, offsite images and inline data, wraps the rest in canary-tagged untrusted delimiters, and flags prompt injection.

Batch pseudonymization for medical text, CSV, JSON, and XLSX in DeepSeek Harness. Deterministic identifier rules run first; an optional OpenAI-compatible model pass adds discovery and verification. Exact-span replacement preserves file structure, tokens stay stable per value, and each batch produces an audit report plus a re-identification vault. DICOM images get header-only de-identification based on PS3.15 Annex E, with pixel data left byte-identical.

Fully local long-term memory for dsh: cross-conversation and cross-project, stored as a single JSON file on your machine with no network calls, no model calls and no API key. Ships memory_save, memory_search, memory_list, memory_forget and memory_review tools, keyword-and-tag recall injected before each turn with adjustable ranking weights, Markdown import (including Kun and Hermes Agent formats) and export (native and Hermes Agent formats), and a settings page to browse and edit memories.

Unofficial fork of dougen/dsh-deepseek-usage (baseline v0.16.0): sidebar balance and quota card for the active model provider, covering DeepSeek, Moonshot, Z.ai, OpenRouter, Kimi, MiniMax and OpenCode, plus Alibaba Cloud voucher balance for qwen-token-plan (BSS OpenAPI with AccessKey) and Xiaomi MiMo console balance with token-plan usage (console cookie). Ships a provider query-status page and per-token unit prices. Do not install it alongside upstream dsh-deepseek-usage: both render the same sidebar card.

Retries a model request that no other recovery layer claimed, unbounded by default with an exponential backoff ceiling, never retrying a cancellation; the policy is editable from a Settings panel.

Keep your automation tasks in files you can version and review: write each task's schedule, prompt, model, permission and working folder in YAML, JSON or JS, and DSH's own Schedule is kept exactly in line, creating, updating, disabling and deleting tasks within a second of a save. Each task runs in its own conversation, persistent or fresh per run; /automations syncs on demand and names any file mistake; and a sync that finds no tasks never wipes the Schedule.

E-commerce customer-service desk that answers buyers only from the fields the shop itself wrote down (price, SKU table, shipping, after-sales), has the DSH model rephrase those facts under a check that rejects invented numbers and platform red lines, and moves the conversation to a human queue when a field is missing. Ships Taobao TOP and JD JOS gateway adapters, a local bridge and webhook channel, and a standalone 24/7 daemon.

Ask about one sentence without derailing the chat: select a passage in a Web conversation, comment, and the session's own model answers in a small thread beside it while the main chat stays untouched. The replier can read the session, the working directory and, if you turn it on, the web, but changes nothing. Commented passages stay highlighted with a badge that shows unread replies, and Send to chat hands a thread to the agent when you want it acted on.