Plugins

Runs project OMA checks before and after tool execution and when a turn tries to finish. Installs its OMA CLI dependency and initializes unconfigured projects on first use. Requires Node.js 22+; initial setup needs network access and project write access.

Your AI learning companion: helping you plan your studies, understand concepts, and build projects to master a subject.

Workbench plugin for the DeepSeek Harness web UI: collects your own projects and mounted plugin entries with rename, icon, sort, show/hide, project-to-session binding and a per-project file cabinet, adds a split-pane workspace engine with draggable panes, tabbed windows and built-in Explorer, terminal, browser, animation and custom panes, and auto-mounts an agent output into the matching window when it writes widget-result.json.

Local SQLite taskboard as a native overlay page: projects, tasks, comments, relations, attachments and workflow automation, with backlog → todo → in_progress → in_review → done statuses, `taskboard_*` Agent tools that can only submit work to in_review, a headless JSON CLI and a packaged skill.

The memory that dreams — cross-session memory for DeepSeek Harness: recalls you and your projects across sessions, consolidates memories while idle (autoDream), freezes conflicting memories for your review, and keeps a replayable audit trail. Memory stays on your machine as SQLite with human-editable Markdown mirrors; four-way recall (keyword, vector, BM25, entity graph) and an interactive memory panel ship with it, plus 10 model tools, an MCP server, an external API and a CLI. Summarization and consolidation run on the host model you already configured; with a local embedder, semantic search runs fully offline.

QA project workbench for dsh: manage test projects, requirements, test cases, defects, milestones, reports and approval gates through a browser UI and 18 QA-domain tools.

LLVM static-analysis plugin that builds whole-program bitcode for C/C++ projects and runs kernel-analyzer (KAMain) reachability analysis on it, providing kanalyzer_* tools to the agent and a ctx.kanalyzer service to other plugins.

Connect multiple Overleaf projects to DSH through OverleafMCP for browsing, analysis, and Git-based file updates.

GitHub search, discovery and audit scripts wrapped as a SKILL.md pack around the gh CLI: repo search, multi-axis explore, trending, repo summaries, similar projects, code search, issue/PR search and org audits; ships as a dsh bundle (and on npm).

Wallpaper Engine integration for the dsh web GUI: scan the local WE library (Steam workshop 431960 + local projects) and use its wallpapers as the page background — image/video/web rendered natively, scene wallpapers as softened static previews — with a 壁纸设计 panel (opacity, scope, fill, blur, vignette, fps, parallax, carousel, theme linkage) and agent tools wallpaper_scan/list/set/config.

Wallpaper Engine integration for the dsh web GUI: scan the local WE library (Steam workshop 431960 + local projects) and use its wallpapers as the page background — image/video/web rendered natively, scene wallpapers as softened static previews — with a wallpaper-design panel (opacity, scope, blur, vignette, fps, parallax, carousel, theme linkage) and agent tools wallpaper_scan/list/set/config.

Claude-style projects and threads: a project's main conversation opens threads (real sessions you can open and talk to) for self-contained tasks, runs up to 3 at once by default, optionally each in its own git worktree, and gets each thread's report back.

Construction cost workbench for DeepSeek Harness projects.

Keeps project decisions in plain markdown instead of chat history: one main document plus per-module documents, every entry carrying a file:line citation. The agent interviews you to turn open questions into settled decisions, and a five-dimension score (task complexity, extensibility, maintainability, code quality, reusability) is derived from the documents and shown on a button beside the model picker. A session can bind several projects; projects are sized small/medium/large, which widens the entry limits, and a reusable-pipeline section in the main document is injected when its trigger words appear.

Todoist-style todo management in the sidebar with projects, labels and priorities, CJK-aware natural-language quick-add, repeat rules, a stats dashboard, import and export, seven agent tools and due-time reminders.

Composer and sidebar helpers in one plugin, each switchable in Settings: a git Changes panel (uncommitted / unstaged / staged / branch diffs), ↑/↓ input history, Shift+Tab /plan toggle, one-click ▶ Continue after a stopped or failed turn, drag-and-drop queue reordering, Copy deeplink, Auto Review "Allow for this chat", project status markers with active projects first, background notifications, 11 extra UI languages and automatic updates from GitHub releases through the plugin manager.

Tender search and bid intelligence in DeepSeek Harness with proposed project search, rule screening, human review and Excel/PDF exports using user-authorized Qichacha MCP.

Read-only Gitea and Forgejo tools over the REST API both projects share: instance info, repository listing, issue and pull request search and read, PR diffs and changed files, and Actions runs, jobs and job logs. Tool metadata is available in English, Traditional Chinese, Simplified Chinese and Japanese.

Project and session organization with multi-folder groups, attention summaries, grouped chat search, native folder picking, pinning, favorites, ordering, and an archive center.

Side web-preview panel: local static hosting, Markdown/code/image preview, one-click run of non-static projects (Cargo/npm/Go/Python) with live logs, drag files into the chat (saved to the workspace), element mark & annotate, workspace file search on 404, and link-click takeover into the side panel.

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.

Three-layer local memory for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md) read on demand through the memory_* tools + L2 searchable knowledge base (facts + SQLite FTS5, Chinese search via sliding-window tokenization) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and from approved Agent Hub documents (memory/global, memory/projects, accepted decisions) with content-hash dedup. v0.2.0 removed every automatic injection: memory enters the context only when the model calls one of the 12 memory_* tools, and data stays on the local drive.

Read-only GitHub research tools for the agent - repository search, repo health check (stars, license, last push, size, archived), dependency manifests, and single-file reads over the raw channel - plus an oss-reuse skill that makes the agent search GitHub and check real dependencies before writing code, so features are assembled from existing open-source projects instead of rewritten; nothing is cloned and no disk space is used.

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.