Plugins

DeepSeek Harness bundle registering one skill that turns long-form production (academic papers, industry analysis, business commentary) into a 9-role pipeline: T1 literature / T2 data / T3 case scouts running in parallel, T4 analyst, T5 writer, T6 critical companion, T7 auditor, T8 finalizer run by the coordinator, T9 peer reviewer — across 6 phases with triangular evidence verification, a 26-check M-gate (25 scripted checks plus one human checkpoint), a G0-G16 audit including a Chinese AI-trace gate, peer-review scoring with journal matching, and 4 human checkpoints. Installs with `dsh plugin add lunheng-article-pipeline` (package.json#dsh.bundle.patch plus a lib/index.js entry that registers the skill); ships role cards for T1-T9, templates and 36 zero-dependency verification scripts, with five-language READMEs.

Carry durable task state across DeepSeek Harness, WorkBuddy, Claude Code and Codex with machine-readable checkpoints and optimistic locking.

TRAE-style conversation rollback — per-turn checkpoints (10-turn sliding window) roll back touched files and truncate model context in place, keeping the same session id. Human-initiated only: a /rollback command or a per-turn Web button (works on interrupted turns too), with a preview listing each affected file and its action — restore, recover, delete, or skip.

Browses checkpoints produced by dsh-checkpoint-rewind as a timeline of time nodes and shows per-file line diffs between any two of them, with trace replay from session logs (no snapshot producer needed) and preview-first workspace rollback with single-shot undo, via /diff and /rollback commands, a JSON HTTP API, and a GUI panel.

Runs AItelier pipelines from DSH over MCP: 39 tools (22 read, 17 write) to generate, run, inspect, edit, export and import multi-step SkillFlow pipelines. The steps execute in AItelier rather than in the DSH session and are polled by run_id, pause at engine-enforced checkpoints answered with answer_checkpoint, and leave per-step traces and step outputs to read afterwards; add_provider / map_model / edit_role point an individual role at a local or cheaper endpoint. Bundles an aitelier-pipelines skill.

Engine-enforced guardrails for DeepSeek Harness agent swarms: quality gates reject half-done work, crash-safe checkpoints resume in place — keeps AI teams from breaking, not just running.

Adds a Delete session action to the sidebar context menu behind a confirmation modal reporting log size and live activity, cleanly unlinking log files, projection checkpoints, and host memory registrations.

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.

Local task checkpoints and bounded recovery for DSH, with optional L0–L3 hierarchical memory, dependency-aware retrieval, prerequisite-aware context, and six opt-in memory tools.

Experimental Windows bridge for Codex to supervise DSH Desktop 0.2.1-rc.3 tasks through local MCP, with blocking direction questions, plan checkpoints, review and revision, and named workspace routing. A Windows adaptation of Cryocell77/dsh-desktop-mcp-bridge (MIT); it uses the same package name and loader row, so it cannot be enabled alongside upstream.

Conversation search, checkpoints, context management, main and side chats, local long-term memory, tasks, and daily planning for DeepSeek Harness.

Per-turn checkpoints of the whole workspace: every turn ends with a snapshot, the files it changed are listed under that turn in the chat, and any turn can be restored — files, the conversation, or both. Capture is a whole-tree scan rather than a hook on write/edit tools, so edits made by shell commands, external editors or git leave a record too. Restoring the conversation forks it from that turn instead of cutting the original, and a restore can itself be undone. History sits in a shadow git repository under DSH_HOME and never touches your project .git. Requires Git >= 2.20 and Node.js >= 20.

TRAE-style conversation rollback rebuilt for DSH 0.1.7-rc.2: per-turn file checkpoints restore touched files and truncate the model context in place under the same session id. Adds a /rollback doctor framework-contract self-check, an affected-file diff preview computed against the current on-disk state so it stays correct after a restart, a one-click undo-last action with a Ctrl+Shift+Z shortcut, a setting for whether rolled-back messages stay hidden, and English UI text.

Browser patrol & website inspection plugin for DeepSeek Harness (DSH). Teach once, replay deterministic runbooks with managed Chromium, screenshots, credentials, checkpoints and selector recovery.

Smart checkpoints, workspace safety guards and instant rollback for DeepSeek Harness.

Multi-language subtitle translation workflow for dsh: SRT/VTT parsing, sentence-level LLM translation, bilingual merge, batched with resumable checkpoints.

Per-turn git checkpoints of a workspace: undo one turn’s changes, or go back to the end of an earlier turn, with a diff preview and an undo of the revert itself.

Host-side progress checkpoints for long DSH tasks. After N minutes or M tool calls the model is nudged to post a one-line progress note and keep working, so you can correct it before it runs far off course.

Writes a novel from one idea to a validated manuscript with a code-driven workflow: a JavaScript state machine runs the stages (constitution, outline, design, writing, validation, batch, export) and a 15-step per-chapter loop, PowerShell scripts validate each gate, and versioned checkpoints let a restart resume at the exact chapter. Nine subagent roles do the drafting and review. Needs PowerShell 7 (pwsh) and Python 3.7+; without pwsh the gates record a DEGRADED verdict and the run pauses.

Per-turn, per-file checkpoints for files written by DSH tools: keep, undo, redo, and revert to here from a dock above the composer, with inline before/after diffs, pinning, and per-session storage cleanup.

A Conductor tab and commands for a chat's context: /new replaces the context in place with a model-written handoff, /rewind restores the chat and the agent's file edits to an earlier prompt, plus /drop, pins, an automatic compaction level, recovery after failed turns, silent messages between chats and agent and task orchestration. Supersedes dsh-orchestrator, dsh-force-compact and dsh-continue, so do not install it alongside them. Requires DSH >= 0.2.1-rc.5, Node >= 22.5, the web profile and dsh-better-sidebar.

Routes model and reasoning effort per turn: a cheap classifier reads each request and picks one of five tiers, a supervisor model re-routes on tool errors and checkpoints, and upgrading to the stronger model waits for confirmation.

Declarative DAG runtime for DSH tool plans with bounded parallel execution, read-only retries, per-step checkpoints, cancellation, and conservative crash recovery.

Keep conclusions alive across context compaction: the model writes a task checkpoint and the plugin re-injects it into the system prompt's first node — the span compaction never touches, so it survives any number of compactions. Four-tier injection (0/95/175/≤12000 chars) scales with session relatedness; checkpoints live in the plugin's own folder, never in your workspace.