Plugins

Local development facts for Harness: environment and runtime-health probes, git status/diff/log/commit, write-time snapshots with version-by-version restore, and project checks for Node, Python and Go.

Syncs the DSH home directory and Mnemon memory data through a git remote: pull, push, sync on an interval, cross-device migration, initialization backups, and conflict detection that stops before pushing and keeps local commits. A panel lists up to 100 recent operations with their backup paths.

Multi-agent agent team of employee AI subagents for DeepSeek Harness — dsh-company: employee management, CEO bidding, n8n workflow orchestration, drag and drop canvas. DeepSeek Harness plugin with seven built-in roles (project director, product manager, tech lead, engineer, data analyst, QA, reviewer), each with its own persona, model and tool whitelist. Broadcast a mission and the employees bid for it themselves — the first line of their answer must be 【accept】 or 【decline】 — so accepted work runs in parallel instead of down a pipeline. The workflow canvas wires employee nodes with the start node, references each upstream result with {{input}}, and runs the graph in topological layers: parallel across employees, serial per employee, downstream skipped when upstream fails. Ships a web panel for the employee management tab, the mission board and each employee's transcript, the /dsh-company slash command, a live mirror into the built-in agent-team panel, deletable missions, and a private memory directory per employee.

Bilibili curation floating panel for DSH: learns your interests on a probability schedule and decays them by half-life, picks videos inside a token budget derived from a daily money cap, and mentions you only when a fit score passes a threshold. Comments are off by default; once enabled they run in draft-and-confirm or self-checked auto mode under a daily quota, with a hard no-comment rule for political, government and frontier-science topics, and comment text is scrubbed for account identifiers before it can be posted. It signs in through your own Bilibili account cookies; a separate posting account is recommended.

Let DSH speak: every reply is rewritten into natural spoken language before being read aloud, with code, tables, and Markdown handled gracefully. Works out of the box with system TTS; Doubao (third-party API) adds dialects and expressive voices; the local Kokoro engine runs offline to keep content on your device. Supports both DSH desktop and dsh web. Optional session sounds tell you when the agent is working, finished, or waiting for your answer — with swappable built-in tones and support for your own audio.

Qwen media tools: multimodal video and audio understanding, text-to-speech with preset voices, and scene audio generation, through Alibaba Cloud DashScope.

One MCP tool surface over two Windows desktop-automation backends (dsh-computer-use-win and windows-mcp). Both must be installed first: dsh-computer-use-win as a DSH plugin, windows-mcp via uv tool install windows-mcp --python 3.14, then run the bundled scripts/patch-backend.mjs once (it rewrites the local windows-mcp source; without it screenshot/read_webpage/launch_app fail) and disable the standalone wincu mount. It merges their 44 tools into 29 by dropping 10 duplicates, 4 dangerous ones (PowerShell, Registry, FileSystem, Process) and 1 tool-management entry, and blocks dangerous calls before forwarding through a reversibility-graded guard.

Project-scoped SQLite memory with progressive retrieval, bounded context, a composer button and visual review. Install the repository-root DSH bundle, then run /learning-init with an absolute project path using local Python 3.10+.

Long-conversation memory for DeepSeek Harness (DSH): keeps settled decisions, user corrections and exact numbers, with their conditions and sources, available across compaction and restarts in 100-1000+ turn sessions; one small budgeted evidence block per model step, with enabled skill rules re-applied in the same block.

Session replay view for DSH conversations: replays a session turn by turn at reading pace for prompts and answers while reasoning and tool output stream past, and every prompt is followed by a one-second pause. It can also re-run the original prompts in a new session, and record the replay — screen recording the conversation itself — to a WebM video through a 1280x720 canvas, with no OS screen-recording permission.

Regenerates a session's title from its last 10 user prompts using the model the session itself last used, with an editable preview before the new title is written back.

Take over context compaction on both the manual and the automatic path, each runnable by a compaction model (falling back to a second model, or used directly) or by a mechanical fold that builds the summary card locally with no model call; the fold goes through the same official compaction transaction, so the replaced events stay in the append-only session log under their sequence numbers. It adapts code from dsh-compact-saviour and takes the mechanical fold from dsh-ledger-compact (both MIT) — install it instead of dsh-compact-saviour, not alongside it.

Persona and memory from a single AGENT.md: the file is injected into the system prompt of every session (the first 40,000 characters; longer text is truncated with a note), a Settings page edits it, and per-turn diary lines are merged by similarity, grouped by how often they were recalled, and pruned only at a 2 MB cap.

Persona mode with character cards, long-term memory that fades and can be reviewed, diaries, a reference library, and stickers.

Turns the MiniMax Code (Mavis) subscription already signed in on this machine into a DSH model provider, renewing the OAuth token itself so the desktop client can stay closed, with points, check-in and subscription-quota panels.

Declarative provider/model fallback chains for the model picker: an ordered root chain plus named pools, failure-code triggered switching, per-model cooldowns, time-slot presets, and subagent role routing. A fork of omdsh-dev/dsh-llm-fallbacks 0.6.5; do not install it alongside that plugin (both use the "llm-fallbacks" profile row id).

Runs the locally installed ZCode CLI as a `zcode` model route in DSH: all traffic is signed by the official binary, the plugin never sends its own request, forges client requests or sends credentials off the machine (the plan token is decrypted in memory only to hand back to the official CLI), no API key is needed, and both a paid one-shot and a free app-server channel are supported. Since v0.3.0 it ships an HTTP MCP bridge so tool calls run through the DSH approval surface. Backed by a contract document and a node --test gate.

OpenAI OAuth login for ChatGPT Codex that adds ChatGPT as a selectable LLM provider (streaming, Off/Low/High/Max reasoning effort, image input) and a codex tool for per-session DeepSeek escalation, with optional light-task delegation to DeepSeek and subscription usage and reset-credit management.

Adds the models available in a signed-in WorkBuddy desktop app to DeepSeek Harness as a model provider, with the CN and international apps as separate groups. It is a rebuilt derivative of the npm package dsh-workbuddy-connect@0.7.9 (originally corrinehu/dsh-workbuddy-connect); it registers the same workbuddy / workbuddy-ai provider ids, so it cannot be installed alongside other WorkBuddy bridges.

A dark, glassy Scaramouche theme for DeepSeek Harness with static and video wallpapers, opening video, ambient music, particles, and a draggable dock.

OpenCode usage dashboard: a sidebar panel for quota and usage in DeepSeek Harness, with Go subscription windows, Console spend, trends, forecasts and model breakdown, multiple accounts, service-account filtering and English/Chinese UI.

Tokenrhythm billing center for DeepSeek Harness: account balance and expiring quota, model price cards, a 30-day usage heat calendar, connectivity checks and platform API-key management, with credentials kept on the local host. A single-channel fork of 162568316/dsh-tokenrhythm-bill; the package name, Cordis id and route prefix all differ, so the two can be installed side by side.

Token usage dashboard for DeepSeek Harness. A dedicated settings page shows cumulative input / output / cache-read / cache-write token totals, a green GitHub-style daily heatmap colored by usage, and a pie / bar chart toggle for per-model (provider/model) usage shares — all read from local session logs, no upstream API calls.

Fudan · Desktop: DeepSeek quota and campus-weather status bar, six curated campus wallpapers, and a fully local 知行台 schedule/knowledge workspace with a Fudan editorial UI and week-by-week review.