Plugins

Live CPU, memory and GPU readout in the DeepSeek Harness composer status bar — a clickable badge with a details panel, per-metric toggles, and three refresh speeds.

Deep-sea whale-blue reskin for the DSH Web GUI: 14 theme tokens in light and dark, five whale-tail-maid placements, a clock and weather card, and a collapsible hardware readout (CPU, memory, GPU, per-drive temperatures via HWiNFO). No backdrop image is bundled; drop your own in. MIT code, MIT character art.

DSH 侧栏实时硬件监控：CPU / GPU / 内存 / 磁盘一页看完，每秒刷新，每个读数都能下钻到是哪个应用。支持容量与内存耗尽预测、阈值告警与 NDJSON 导出。纯 Node，零运行时依赖，完整功能仅 Windows。

DeepSeek Harness (dsh) plugin: live NVIDIA GPU monitor in the web rightbar. NVML-first on Linux (nvidia-smi fallback). NVIDIA only! Not AMD/Intel/macOS. Multi-GPU util/VRAM/power/temp, processes, sparklines. Installable dsh.bundle.

Live btop-style CPU/memory/temperature/GPU monitor tab for the DeepSeek Harness web GUI.

Reports Docker CLI, context, and daemon reachability in WSL, plus vLLM :8000 /v1/models health and GPU runtime hints.

Floating GPU monitor for the DSH Web UI: a compact, draggable strip with one row per discrete GPU (exact name, utilization, VRAM, temperature, power draw) from nvidia-smi, stays visible over side panels and side cards, with a top-VRAM-process list when the driver reports it; degrades to an n/a pill on machines without an NVIDIA driver.

Probes nvidia-smi and GPU visibility inside WSL.

GPU-aware execution layer for DeepSeek Harness: gpu_status / gpu_exec / gpu_run_bg tools, per-step GPU context injection, automatic CUDA_VISIBLE_DEVICES card selection

Read-only Windows device information tools: one agent tool per Win32 device category (time, system, cpu, memory, disk, gpu, network, battery, processes, usb, audio, printers) via WMI/CIM and Node os collectors.

Desktop-style client theme for DeepSeek Harness: translucent slate sidebar, #151517 main canvas and #2c2c2e composer dock, four palette presets (obsidian-origin, glacier-midnight, titanium-noir, sonoma-frost), a settings panel for blur, sidebar opacity, ambient glow and content radius, and three GPU performance tiers (ultra, balanced, eco).

A fastfetch-style system and DSH panel: one slash command (/fastfetch or /ff) and one simple agent tool render OS, kernel, host, CPU, GPU, memory, every disk and local IP address, plus DSH version, model, session mode, plugin and skill counts into a colored terminal card, with a settings page that edits every field.

Disk, CPU/memory/GPU, listening-port and token-usage cards with a full-page zoom; runs as a workbench module or standalone. The port card works on Windows only and the GPU card needs nvidia-smi.

Adds a live system dashboard with per-core CPU, memory, GPU, processes, disk usage and a STOP action for ending processes, plus per-process energy on macOS, exposed as a browser page, a GUI panel and a `systemInfo` service other plugins can inject. macOS is the main platform and Linux is best-effort. The dashboard page and its read-only JSON (process list with users, disks, logged-in users) are served with no login check; publicDashboard: false only refuses non-loopback peers. STOP accepts loopback requests only and sends SIGTERM, then SIGKILL after a grace period, to any process your account may signal except pid 1, the DSH host and its parent.

Floating, draggable sensor dashboard for the Harness Web UI on Windows: GPU-Z GPU temperature, clock and dedicated VRAM on the left, CPU temperature/clock and system memory on the right.

Live monitor of a local Strata model server inside the DeepSeek Harness GUI: state, token rate, VRAM, GPU and CPU temperatures, and the last request, next to the message composer.

CPU, GPU and memory load in the DeepSeek Harness Session header: three compact cells with a percentage and a 2 px bar, coloured at 75 % and 90 %; CPU from os.cpus() deltas, GPU from nvidia-smi (Windows counter fallback).

Elysia's memory plugin for dsh. One shared, human-editable MEMORY.md across every session: two-disk mirror, history snapshots, cross-process write lock; entries tier between the main file and a searchable archive by hit frequency; retrieval is keyword co-occurrence plus BM25. Nine sections (persona, requirements, corrections, lessons, methods, requests, sessions, method library, ingested docs) plus a dedicated self-identity section for a character's own self-cognition, injected above the persona. Ships an opt-in memory pack (packs/elysia: 61,903-char identity + 2,482-char persona, distilled from 1,696 officially-confirmed voice lines and checked against a 112,175-line game-dialogue corpus) that is off by default, backs up before writing, only touches identity/persona, and can be uninstalled. Also a skills library and a sticker library (you import your own images; none are bundled) that sends a fitting sticker at the right moment. On by default: a text bubble with her avatar after each reply, which costs one extra small model request unless the agent already announced (voice.bubble: false turns it off). Opt-in voice playback needs a local GPT-SoVITS engine (about 27 GB, installed separately, NVIDIA GPU required; the plugin downloads about 200 MB of weights) and is Windows-only; the automatic second-drive mirror is Windows-only too (elsewhere set mirrorPath, otherwise there is no mirror).

Runs the local llama.cpp Qwen3.5-4B from a Settings page — Windows only, NVIDIA GPU (8 GB VRAM handles the 4B Q4) — with start, stop and restart, launch parameters, deployment paths with a presence check, provider-route and compaction-policy sync in the profile patch, a loopback request-capture proxy, and a local_worker tool that hands translation, OCR and video-frame chores to the local model by file path. Needs llama-server.exe (verified on b12069) and Qwen3.5-4B GGUF + mmproj files on disk; video frames also need ffmpeg.

Realtime ocean skin for DeepSeek Harness, rebuilt from d-dev0101/open-sea-skin 1.2.7 under MIT. Wave height follows the live session load, the sky comes from a local NOAA ephemeris, the star field is a real 2851-star HYG subset with 88 constellations, one boat per running subagent, plus a searchable 11-group settings panel and three quality tiers. Published to npm as "open-sea-skin-dsh"; it keeps the upstream bundle id, so uninstall d-dev0101/open-sea-skin first — the two cannot be installed side by side.

Compact macOS strip above the composer showing CPU, GPU, RAM, swap, memory pressure and local Ollama model ON/OFF status. Tested on Harness 0.2.1-rc.5.

DeepSeek Harness plugin: control your LAN AMD inference server over SSH — GPU power limit, Radiance service (docker compose), image updates, shutdown/reboot, plus a live sidebar widget (decode/prefill t/s, CPU/GPU). 通过 SSH 远程控制局域网 AMD 推理服务器，全程仅一条常驻连接。

Shows how many GPUs on the dsh-remote host are free in the conversation header, and per-GPU utilization, memory, temperature and the owning user in a right-sidebar panel. Adds a remote_gpu tool that returns the same snapshot.

Adds the models of your own GPU Hugging Face Space to the model selector, starts the Space when you send a message, shows its start progress, and pauses it when idle or at a time limit. Requires a Hugging Face account with a GPU Space serving an OpenAI-compatible API, a Hugging Face token stored in the DSH vault as HF_TOKEN, and a paid plan for GPU hardware; Hugging Face bills the GPU time.