Plugins

Browses the petdex.dev catalog in Settings and runs a floating macOS desktop pet that reacts to agent activity.

DeepSeek-Harness (dsh) plugin that streams sessions, turns, and tool activity to a JARVIS Mission Control board

Azure resource management: query and show resources, deploy Bicep/ARM templates, and check the activity log.

Fishing assistant skill: spot analysis, fish activity and bait/lure recommendations from water photos and weather data.

Usage statistics panel for the Web GUI and the Desktop app: silent per-model token collection, activity heatmap, trend charts, cost estimation and a daily-limit guard.

Desktop-style UI enhancements for the DSH Web client: adaptive wallpapers, a desktop pet companion with an activity feed and feeding economy, @file workspace references, and the resizable file/preview right panel.

Draggable whale companion with local progression, achievements, skins, and privacy-safe activity tracking.

Codex-style token usage panel: whole-instance cumulative/per-session peak tokens, longest chat & streak, daily/weekly/cumulative activity heatmap, and plugin/skill Top5.

A safe, accessible session manager for DeepSeek Harness with archive controls, activity details, lineage, and output-file cleanup.

Persistent provider-reported token usage totals with per-session, per-model, and daily activity statistics.

Native desktop pet for DSH that follows agent activity, supports Codex pet packages, and imports approved pets directly from Petdex without its CLI.

GitHub console inside DSH: token sign-in, repositories, issues, PRs, commits, notifications, stars and activity, one-click cloning that keeps itself up to date, and a categorized skill library that installs GitHub skill projects for the agent.

Exposes Chrome DevTools Protocol to the agent through 17 tools for page summaries, element locators, activity timelines, console, network, storage and downloads, reading either a browser the plugin launches on its own or the tab the user is currently browsing through a small browser extension.

Windows-only sidebar panel that watches the CPU and IO of your AI desktop apps' process trees and shuts the machine down once all of them have been idle for a configurable time, with a cancellable countdown, a dry-run mode and an activity log; requires Python 3.10+.

Cross-session long-term memory backed by Supermemory: pre-step semantic and chunk recall with per-session deduplication, debounced transcript upload, background LLM fact extraction (add/update/delete) with bigram and semantic deduplication, memory_search / memory_save / memory_forget tools, global or per-workspace container scoping, and a Plugins page UI for API key storage, memory CRUD, recall preview and activity log. Requires a Supermemory API key (a free monthly quota is available), and conversation excerpts are uploaded to Supermemory's cloud.

Adds custom task groups and an activity bell to the sidebar: drag sessions into or out of a group, reorder them by hand, collapse groups, and see running, waiting and unread sessions in one place.

All-session token usage dashboard in the sidebar: total and peak tokens, usage streaks, a 53-week activity heatmap, 7/30-day trend, per-model usage and a session ranking. Folded locally from the profile session projection cache, so sessions written by older session formats are counted too; no network access, and the read-only summary route refuses non-loopback peers.

Adds a cross-workspace activity sidebar for running, waiting and unread sessions, with search, optional pinned and scheduled-delivery groups, local read tracking and confirmed archiving.

Windows x64 preview that detaches workspace/session navigation into a separate .NET Framework 4.6.2+/WebView2 Evergreen window, with grouped trees, overview/focused modes, logical drag-and-drop, activity/manual ordering and a resizable focused-view preview; no DSH Core patch and no Better Workspace runtime dependency. Derived from KannaKuron/dsh-better-workspace — do not install both.

Electricity activity ingest, location-based GHG calculation, row verification, workpaper and partial ESRS pack.

Runs an approved OpenSpec change to completion while the model stays a mechanical forwarder: a bundled Python CLI computes the ticket DAG frontier, claims tasks atomically, prepares one git worktree per assignment, and returns exact actions. The session delegates each action with the DSH subagent tool and reconciles the completion notice against a hash-bound receipt produced by re-running verification commands on a clean, advanced HEAD, so free-text "done" never counts. Runtime scope changes are plain tasks.md edits. Liveness is observable, not guessed: status returns a relay block (elapsed and lease budget, receipt presence, heartbeat and activity age, a suggested action); abandoning a plausibly-still-working attempt is refused with the judgment data unless --force; a late sealed receipt is revived by adopt after full re-verification instead of rebuilding the ticket; dispatched subagents refresh a progress heartbeat outside the worktree. Requires Python 3.10+ on PATH and a git project that uses OpenSpec.

DSH company collaboration mode: companies, employee accounts, groups with an auto-joined AI member, persistent server-side DSH ACP host with SSE streaming activity and group approvals, and local Git AI tasks.

Project progress panel that scans a configurable root for local projects, infers activity from anchors and git evidence, and exports a self-contained dark HTML report.

Builds a per-project code wiki: README summary, docs tree, tech stack, git activity and language composition, cached locally and exportable as Markdown.