Plugins

The Refyard Git workbench as a DeepSeek Harness panel: history, changes, diffs, commits, branches and stashes for the repository the current session is working in.

Diagnostic evaluation plugin for DeepSeek Harness: freezes the confirmed Harness configuration, runs a benchmark, keeps the full session trace, and attributes failures to model, Harness, benchmark or environment.

Video studio for DeepSeek Harness on Android: storyboard editing, multi-provider image/video generation with automatic failover, FFmpeg MP4 export, prompt optimization, and a mobile-first workbench.

Token usage workbench for token-plan users: folds assistant/message usage from the session log into per-day call-level detail (cross-session responseId dedupe keeps fork/resume copies counted once), converts local volume into plan credits against terms you enter (default 1M tokens = 0.2 credits, caps 600/2500/6000 for day/week/month, optionally scoped to selected channels), and shows a composer-dock readout plus a settings page with per-provider cost table, 7/30d bar and line trends and a rolling six-month heatmap. No credentials are read: the remaining percentage a provider keeps behind its control-plane API is replaced by a clearly labelled local conversion, and reference costs come from the public DeepSeek pricing page.

DSH Desktop workbench for official MATLAB MCP experiments, verified PNG figures, MATLAB-computed metrics, and PID parameter sweep comparisons. Requires Windows, a MATLAB license and the separately installed official MATLAB MCP Server.

IDEA-style Git workbench for the Web UI: commit graph with lanes and ref labels, log filters, commit details, split and unified diffs with per-hunk staging, a fine-grained zero-context mode, local changes with amend and sign-off, rename-following file history, per-line annotate, stash, branch operations, compare, tags, an interactive rebase planner and conflict resolution. Records which model produced a commit by stamping an Assisted-by trailer from the live session, and renders any existing commit trailers as chips, so AI-authored history stays traceable.

Gives the agent 14 tools to create and edit DingTalk Yida apps (apps, forms, pages, schema, data) through the OpenYida CLI, plus a right-sidebar workbench that opens them in the built-in browser.

Adds a Community Bench tab that reads the public task-conditioned registry and shows the same score everyone sees; it does not compute a local score.

Inspects ONNX models (inputs/outputs, shapes, opset, operators, size) and benchmarks them with ONNX Runtime on the local machine or on a remote target over SSH, reporting average/P50/P95/P99 latency, FPS and the execution provider actually used, with PASS/FAIL gates for FPS, P95 latency and model size. Requires Python 3.10+ with numpy, onnx, onnxruntime, and psutil installed (pip install numpy onnx onnxruntime psutil); remote targets need python3, numpy, and onnxruntime.

Windows x64 translator with a dedicated sidebar entry and Workbench / Chat interface, side-by-side text and document translation, screen-region translation, recent history, and host model selection, voice input and preview. CUDA document OCR with CPU fallback; screen OCR uses CPU. Do not enable the CPU and CUDA packages at the same time.

Windows x64 translator with a dedicated sidebar entry and Workbench / Chat interface, side-by-side text and document translation, screen-region translation, recent history, and host model selection, voice input and preview. CPU OCR without NVIDIA dependencies. Do not enable the CPU and CUDA packages at the same time.

AI research toolkit for DSH: a model release radar, a per-model benchmark and community report from 13 structured leaderboards plus Chinese and English community discussion, and an AI news radar over 46 feeds and 22 official X accounts; registers four tools and three skills and renders every report to Markdown with a generated table of contents.

Local BM25 auto-recall, a fail-closed write guard, a static doctor and a memory panel for an Engramory markdown store. No network, no daemon and no model calls unless you opt in; recall quality is measured by a reproducible benchmark in the repository.

Adds a Delete session item to the sidebar session row menu that permanently removes the session log directory, projection cache and archive/pin membership and drops its row from the sidebar, plus an archived-sessions panel where archived sessions can be restored or deleted.

A human-in-the-loop curation workbench inside a DSH session: mark whole turns or single messages to keep verbatim or to summarize, rewrite user, assistant, tool-result and injected-context messages in place without a model call, then compress the marked ranges with model-written summaries or the official /compact. A local JSON backup is written before every write to the session.

Turns one plain-language request into a live workbench window: a sidebar panel asks a few clarifying questions, the model writes a single-file HTML artifact, and the plugin mounts it in a resizable floating window or a standalone browser tab. Declared window actions are recorded as info-level project journal entries (without their payloads), and workbenches can be imported, exported, or installed from a market index.

Agent Studio for DSH Web: configure models, prompts, per-plugin tool bindings and Skills; trial-run with editable tool results and run history; preserve session capability snapshots; export standalone presets; draft Agents with a guided creator preset.

The Quick Control panel core for DSH Web: a standalone floating shortcut panel whose switches other plugins register through the quickControl service, with the skin system and zh/en i18n. The dock-base Workbench integration ships separately as the dock-flash adapter.

Node-based GLSL workbench: wire a shader graph on a canvas and preview it live, compile it to Shadertoy-compatible GLSL with multi-pass buffers (BufferA–D), hot-reload as you edit, cross-compile to HLSL / MSL / SPIR-V, and keep projects, materials, snapshots and resources (images, audio, lyrics) in a local workspace. Ships 57 built-in nodes, 8 bundled examples and 11 agent tools. No runtime dependencies.

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.

Gated four-stage video pipeline: brief, script, assets and compose, turning one sentence into a narrated explainer with ComfyUI workflows or image/video APIs and FFmpeg assembly.

Move a session to another folder, permanently delete it, or AI-rename it from the Web UI — by dragging a session row onto a folder title or from the session menu. Moving rewrites the session header cwd, relocates the persisted log and updates workspace accounting so history travels with it; deleting stops running agents and removes the log, projection-cache row and workspace accounting. The same three operations ship as agent tools: workbench_session_move, workbench_session_delete and workbench_session_rename_ai.

Visual frontend revision workbench: point at a real page element, describe the change, send it into the current DSH session, then review fixed-viewport before/after screenshots (1280x800 and 390x844) beside a captured source diff, accepting each revision item by item. Revision records are kept per session under .dsh-revise/ and export as a single portable HTML report.

Reverse-engineering workbench: bridges a local IDA Pro into DeepSeek Harness through @deepseek-ai/dsh-mcp-client, exposing the ida-pro-mcp toolset (decompile, xref, rename, comment) as mcp__ida__* tools. Auto-selects idalib headless mode (analyses a binary in-process, no IDA GUI) or GUI mode (connects to the IDA plugin RPC on port 13337). Adds re_check, re_open and re_status; the bundled MCP server is a zero-dependency stdio proxy usable from any MCP client.