Plugins

Turn your phone into the control center for an AI coding assistant CLI session (Claude or Codex) running on your computer.

Long-term memory for DeepSeek Harness kept as plain markdown, one fact per file. Every step the `MEMORY.md` index (the project store if there is one, plus a global store under `$DSH_HOME`) goes into the runtime context, so recall does not wait for a file read. The index has a hard cap, 200 lines / 25 KB by default, enforced by `ctx.tools.guard()`: a write that grows an over-cap index is denied, a rewrite that shrinks it passes. A read-only sidebar Memory page lists the notes by type. The plugin never writes memories on its own. An experimental companion mode adds note types for a persona's own life. The same store also works with Claude Code, Codex, Kiro and OpenClaw.

Sidebar usage panel that attributes tokens to the relay site that served each request, read from your existing provider config: today/month/all-time totals, per-site and per-model breakdowns, a year activity heatmap, and New API / Sub2API / DeepSeek balances.

Pop-out sidebar: lists artifacts and a file tree with multiple preview formats, pops out into a separate browser tab you can drag to another monitor, and coexists with other sidebar plugins simultaneously.

Undo/redo & rollback system for DSH: every config change is auto-snapshotted; undo/redo/restore to any version from the WebUI or the offline CLI/GUI tools (works even when DSH fails to boot).

GitHub-topic-driven plugin & skill marketplace: a Settings page that browses the auto-collected registry (the whole dsh-plugin topic plus the skills index, CI-refreshed every 2 hours) with one-click install, type detection, install-script and host-shadow-dependency safety confirmations, env-key management, and the STANDARD.md recognition spec.

Full-screen Changzhengji-themed boot animation for DSH with a six-step authorization sequence, seven built-in real-voice packs, two switchable emblems, five switchable character portraits, and an optional access-password gate.

Let DeepSeek Harness see and operate any program on Windows. The model looks at the real screen and drives the mouse, keyboard and windows itself. It is fast: several steps run in a single round trip, and a window can be focused before input lands, so the click hits the right one. It can do anything you would do on a desktop, including but not limited to CAD drawing, circuit simulation, and sending messages.

View FlowX workflow graphs and artifacts in DeepSeek Harness. Web only; needs Python 3.10 or newer with the FlowX SDK installed separately.

DeepSeek Harness 本地视频制作与设计插件：多轨剪辑、模板与设计体系、原生预览画布和真实文件导出

DSH 技能调用审计 + 应用内 skill 管理器

Reports which skills each turn invoked (loaded by the model, typed as /name, or none) and manages the local skill directory: install from a pasted repository, folder, SKILL.md or zip address, set a Chinese display name in the skill meta.yaml, and remove a skill while keeping a backup.

Proactive associative memory for DSH: zero-prompt recall injected at a fixed boundary, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers and a PLAN whiteboard that survive context-window switches, water-level sensing with an auto-detected model window. Local Markdown storage, model-agnostic, zero deps; lexical 0GB floor with optional semantic tiers.

Let the model connect to databases and write SQL.

Auto-resumes interrupted DSH Web requests: sends a queued 「继续」 after network, timeout or host-crash failures, with error classification, adaptive backoff, templated continue text and browser notifications.

🌌 Mebular · shared memory and task collaboration for agents. Through a DSH-native plugin, it provides cross-device, cross-agent memory sharing and task-graph capabilities — so physical devices are no longer the boundary of your agents. Secure, controllable, and decentralized! The plugin attaches to an existing Mebular app or CLI runtime; when none exists, the panel installs the shared runtime on demand, and it never starts or downloads Mebular silently.

Terminal workspace for DeepSeek Harness with local VS Code JSON/JSONC theme import, inherited terminal background effects, mouse text selection, structured tool and diff views, Session/Profile/plugin management, and Skill/MCP browsers.

Study workspace for DeepSeek Harness: imports your own PDF, DOCX, PPTX and Markdown materials plus lecture recordings, turns them into source-cited flashcards, quizzes and open questions, and schedules spaced review with FSRS-6 in a built-in web panel. Imported recordings are transcribed with your own SiliconFlow, Groq or Gemini key; live classes can instead use an on-device SenseVoice engine that needs no key (about 239 MB on first install); requires DSH 0.2.0-rc.2 or later but below 0.3.

Mobile adaptation for the DSH Web UI: works well on narrow screens, fits wide screens too.

15 skills and three mutually exclusive optional MCP rows (ru-marketplace-compare, ru-marketplace-decision, ru-marketplace-full) for twelve marketplaces: price comparison across Wildberries, Detsky Mir and Yandex Market, plus per-source search, product cards and reviews, including Ozon, Avito, AliExpress, Taobao, Megamarket, Lamoda, DNS, Citilink and Cian. The 15 skills load on install; the MCP rows stay disabled until RU_MARKETPLACE_MCP_DIR points at a local clone, which needs Python 3.12+ and uv.

AI image generation for the DSH Web GUI: text-to-image and image-to-image through a configurable OpenAI-compatible endpoint (gpt-image-2 / gpt-image-1 / dall-e-3), with an api_url/api_key settings card and a sidebar split-pane generation studio.

Multi-provider usage dashboard with provider/model token breakdowns, calendar drill-downs, account balances, and OpenCode Go / Z.ai subscription quota tracking.

Makes 1080x1920 vertical promo videos from a storyboard JSON with 7 tools (doctor, setup, catalog, guide, validate, render, verify), rendered locally with Remotion.

Drive a local or remote ComfyUI server from DeepSeek Harness: comfyui_run / comfyui_object_info / comfyui_workflow tools generate and edit images and videos, with a workflow library (graph extraction: per component / main flow / all), a load area with resolution auto-match, a live queue, SDXL and Wan 2.1 templates, a companion skill, and a same-origin media proxy.