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DSH plugin: auto-fill metadata (context length, output cap, display name, input modalities) for custom-provider models from the Model Metadata Registry (models.dev).

Terminal front door for DeepSeek Harness (dsh): an out-of-tree TUI mode bundle over dsh-base

Health checks for DSH plugins: manifest/patch/entry/build/pack/install verification, model-callable plugin_check, profile host-shadowing + BOM detection, environment diagnostics, and poison preflight.

Continual self-refinement loop: persistent memory, periodic review-and-refine, cross-session shared knowledge, and automatic rollback through a model-callable harness_refine tool.

Desktop notifications for run completion, model questions, and approval requests with per-platform system sounds, zero runtime dependencies.

Task board for DSH: create tasks with project and model assignment, run them manually or on cron schedules; new sessions in a project automatically pick up its todo tasks and move them to in-review when done.

MiniMax-powered multimodal plugin: real-time voice call mode (streaming conversation, floating dock UI), voice mode and mic voice input, plus image/video/music/speech generation and vision inspection tools.

Zero-dependency browser control: drive a real headless Edge/Chrome over CDP with 8 `pilot_*` tools (navigate/click/type/keys/eval/screenshot) plus a live draggable cockpit panel in the Web GUI - text-first snapshots for text-only models, no Playwright, no API key.

Optimize a raw instruction into a professional prompt through the harness llm service — four-section (Role / Task / Context / Format) or a headerless plain-text style. Context-aware by default: the recent conversation is injected as background and may enrich the ## Context section. Long outputs resume from the truncation point with auto-expanded budgets; validated results are cached (identical requests cost zero model calls); a unified call budget bounds worst-case cost. Composer ✨ one-click optimize, undo, cancel and a token-cost hint; prompt_optimize tool (optimize + iterate), auto-optimize hook, auto-detected zh/en role document.

Dedicated model routes, tools, and system guidance for vision, compaction, reviews, subagents, titles, and image generation.

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).

Knowledge-base-driven agent preset: wiki long-term memory, a web KB UI, a management page and optional UI polish.

In-place conversation rewind in the same session window without forking (Claude Code /rewind semantics): a per-message ↶ button cuts the model context back to any user message, with an optional Claude-Code-style file restore from disk-persisted before-backups.

Codex App Server model provider using a local Codex login, with session reuse, Harness tool bridging, native action traces, and durable generated-image projection.

Simulates a Codex environment for selected model routes to improve GPT-family model tool-call success.

Use third-party subscription accounts in DeepSeek Harness: chat, image understanding, image generation, and image editing with the models your subscription covers, with available models and reasoning levels synced from your account; currently supports OpenAI/ChatGPT subscriptions, more providers planned.

Two-tier model routing: a strong tier plans, advises and reviews while a cheap tier implements, with plan-mode-aware auto routing, a high-impact escalation guard, failure auto-escalation, and subagent tiering.

Usage tiers and shareable stats cards: 🐟→🐳 ranks by monthly token burn with a locally-computed estimated percentile, precise pricing for 46 models across 6 vendors (including size-tiered Chinese pricing), backfill of pre-install sessions, and old-vs-new comparison across the 2026-08-17 rate change. Local-only, no telemetry.

DSH용 무개입 런타임 텔레메트리: 모든 세션이 작업, 모델 등급, 도구, 실패, 소요 시간, 상태를 통계 섹션이 포함된 사람이 읽기 쉬운 저널에 자동 기록(순수 관찰자 — 도구 없음, LLM 호출 없음, 주입 없음)

로컬 Codex App Server를 DeepSeek Harness의 모델 프로바이더로 사용할 수 있게 합니다.

AI가 VLM(멀티모달 모델)을 자동으로 호출해 시각 분석을 수행할 수 있게 해주는 dsh 플러그인입니다.

DeepSeek Harness용 호스팅형 무료 비전 사이드카로, 영구적인 세션 증거를 남깁니다.

DeepSeek Harness용 코너 HUD로, 세션의 토큰 압박, 모델별 비용, 일별/월별 사용량을 한눈에 보여주며 편집 가능한 예산과 지출을 추적하는 잔액을 제공합니다.

관리형 ChatGPT OAuth를 사용하는 Codex 모델용 DeepSeek Harness LLM 프로바이더입니다.