Plugins

Adds Activity and Favorites views to the DSH sidebar for running, waiting, unread, recent, and natively pinned sessions across workspaces, while preserving the native workspace tree. Targets DSH 0.2.1-rc.2 only.

Browse, preview and install public Agent Skills from inside the DSH web GUI, aggregating five sources (claudeskills.info, skillsmp.com, the awesome-claude-skills repository list, the official anthropics/skills repo, and skill packs shipped by installed DSH plugins). Skills install pinned to a commit rather than a branch name, so what you previewed is what lands; the panel reports provenance, whole-tree update checks and a trash instead of deleting. Before writing anything it validates the skill name and frontmatter against the rules the harness silently enforces, lists files that SKILL.md references but the fetch did not bring, flags partial fetches, and offers overwrite, rename or skip when a name is taken.

GitHub project search and analysis: describe your idea in one sentence and the agent searches GitHub for related projects, ranks them by relevance weighted with stars, and returns a structured card — last updated, relevance, stars, weighted score, language and a one-line description for each project. Pick a few repositories and it reads their README, dependency manifest, directory tree and key files to lay out their architecture — so you stand on the shoulders of giants before you start building.

Your real Obsidian vault in the DSH right Sidebar: vault tree, full-vault search, read-view typography, wikilinks and heading anchors, properties, backlinks, highlights, in-place editing, an outline, and a right-click menu for handoff, rename and .trash.

Review tab for DeepSeek Harness sessions: workspace changes versus HEAD or any two refs as a filterable file tree with side-by-side diffs, a lane commit graph with blame and file history, three-scope search, line comments back to the composer, and guarded stage/commit/branch/tag/stash/conflict operations.

Read-only insight panel for one profile: five views over the same data — config layers, plugin tree, services, tool names and models — each entry showing which layer inserted or disabled it and whether it is running.

Runs 3 or 5 coding-agent candidates in detached Git worktrees, validates their patches with project commands, ranks only passing candidates, and requires separate approval before applying the winner.

Local-first AI project orchestration workbench and CLI plugin for DeepSeek Harness: approval-gated planning, Git worktrees, task execution, Issues, and auditable evidence.

Visual development studio for DSH WebUI plugins with isolated Git worktrees, live official-WebUI previews, source editing, patch inspection, builds, and validation.

VS Code-style code editor: sidebar file tree over the workspace, Monaco editing, file read/write, Git status and diff, search, and Markdown preview.

Durable Git worktree isolation and delivery for DeepSeek Harness subagents

DSH port of TaskPlane: dependency-ordered waves run in parallel git-worktree lanes, with task packets, cross-model review, and crash recovery.

Agent trajectory governance and anomaly diagnosis: rebuilds flat session logs into multi-branch trajectory trees, detects loop deadlock, invalid retry, and goal drift, alerts with cost attribution, one-click interrupt and breakpoint fork via official APIs, independent GUI tab.

Obsidian-style notes panel in the DSH right sidebar: a tree over a local folder, Markdown preview with line numbers, edit and save, Obsidian callouts, tables and wikilinks, screenshot paste into the vault, one-click insert of a note path into the chat input, and batch archive or delete for sessions and workspaces.

Draws workspaces and conversations as a 3D star map in the stock panel slot: eight layouts (spiral, rings, armillary sphere, solar system, double helix, irregular web, cubic lattice, radial tree), eight colour themes, a memory-library map of instruction files, skills and skill calls, star-to-star fly-throughs, and a 中/EN switch. Links are drawn only where a workspace owns a conversation or one conversation descends from another.

Black-box GUI testing for DeepSeek Harness: an AI tester drives a real Windows virtual machine using only screenshots and mouse/keyboard, so its verdicts rest on pixels instead of logs or source code. Ships the dsh-vm-tester plugin with twelve vm_* tools (status, UI tree, screenshot, click, type, type-secret, key, basic key, wait, snapshot, upload, download), a reverse-tunnel guest agent for Windows, and run verification scripts. Needs Windows, VirtualBox 7 and a Windows guest VM with the bundled agent before any vm tool works.

Resumable JavaScript workflows with native child tasks, shared budgets and worktree isolation.

Windows desktop observation and control: accessibility tree, screenshots, OCR fallback, mouse and keyboard, with session-scoped approvals and an ESC halt gate. Computer use and desktop automation for DSH, including GUI automation fallbacks.

Registers an apiCost session projection that estimates DeepSeek spend from reported token usage at published peak / off-peak rates, in CNY and USD, over self, delegation-tree or verified-team scopes: a composer-dock pill and its detail panel, the /cost command, a session_cost tool, and GET routes for the view and the current rate card. A panel switch parks model requests at the llm/stream waterfall while peak rates apply and dispatches them unchanged once the off-peak window opens, so the call is billed at the off-peak rate with no failure reported to the session.

Enhanced right-sidebar files panel: rename, create, upload, download (a directory is zipped on the fly), copy the full path and delete from the tree; an editable document renderer for 128 text extensions with Ctrl/Cmd+S save and conflict detection; plus an independent bottom terminal panel with tabs and a quick-command library persisted under the DSH home.

Code workbench in the right sidebar: a workspace file tree and a multi-tab Monaco editor with syntax highlighting and version-guarded saving, Tab completion from DeepSeek fill-in-the-middle, per-save checkpoints with rollback, codebase search (plus a codebase_search tool for the agent), and reference chips that insert a selection into the chat as an @path mention.

Right-sidebar page for DSH that draws the current session's repository as a VS Code-style commit graph - colored branch/merge lanes, ref chips and per-commit details - with a working-tree Changes area above it (staged/unstaged sections with inline diffs) for every working tree of the repository; read-only, works with or without dsh-better-sidebar, and follows the session's worktree label when dsh-session-worktree is installed.

Project-level memory built around a ledger whose structure the AI designs per project; the plugin only handles detection, injection, write-back, archiving and git. Memories are split by meaning: the active ledger holds current state, the turn journal is append-only, and decisions, the goal tree and lessons are one-card-per-file (with a multi-dimension index over the card folders); the fundamental principles file can be changed only by the user. There is a single compaction mode: before compacting, the AI sorts the work into three buckets - what must stay in context and is re-injected verbatim, what is written to the project's _stash/ for later lookup, and what is dropped. When a conversation is opened in a container workspace holding several projects, it can be locked to one sub-project (the lock lives in the plugin's own home and survives restarts; it leaves no marker in your project). Also an activity log with five levels, where L4 stores the user's own words verbatim (never injected, queryable on demand). Before each compaction a verbatim capsule (user quotes, raw errors, changed files) is written to disk, and both the capsule and its source material survive a restart; a handoff document lets a new conversation resume the previous one. 21 tools, 12 subcommands, 39 settings (one of them switches whether the settings panel or each project's manifest wins). Runs locally, no runtime dependencies.

Run one instruction on every online Windows and macOS machine, across networks and regions: a dependency-free relay talks to each machine over outbound connections only (Tailscale, a public VPS behind TLS, or a tunnel), every machine runs the command in its own checkout, and results come back with a commit, a working-tree fingerprint and a command hash so an environment mismatch is reported as unverifiable instead of being mistaken for a different result. Sending work needs its own operator token, separate from the per-machine device token.