Plugins

Project documents and long-term memory as plain Markdown in a dedicated Obsidian vault: six mem_* tools (search, read, write, log, brief, admin), one budgeted recall injection at the first step of a session, and automatic distillation of completed turns. Obsidian does not need to be running, and the vault stays readable with the plugin uninstalled.

"Single-Core Writing" plugin for DeepSeek Harness: Thoroughly tool-streamlined and output-hardened for quantized small models, suitable for running long-novel pipelines locally with on-device models.

Desktop pet drawn from the official whale outline, for both the desktop app and the web UI: SVG animations and facial expressions follow agent state (thinking, working, done, error, waiting for confirmation), and it can follow other running sessions with a count badge; poke it, drag it, shake it dizzy, squash it against a screen edge, or rub the cursor over its head for a headpat; 7 palettes, 4 sizes, synthesized sounds, light/dark theme sync, and a playable web preview.

Expert-mode agent preset for DeepSeek Harness (v0.9.2, npm dsh-expert-mode, bilingual EN/ZH): a chief coordinator plus 17 domain-expert subagents with automatic task delegation. Features: taskboard scheduler (file-system task state machine pending/ready/running/done/failed, dependency DAG, atomic claim, retry, crash recovery), quality gates (5-stage pipeline for high-risk tasks: requirement clarity, implementation, verification, independent review, integration, with 2-round rework limit), Five-Anchor constraint (review/convergence/anti-drift/collaboration-check/resource-awareness per turn), Near-distance Guidance (identity/task/output template per expert), progressive disclosure (~28% token savings), expert persistence, inter-expert file message bus (direct P2P comm, zero coordinator relay), cross review, experience pool, fast-track for simple tasks, fault recovery with auto-retry. Experts: data analyst, copywriter, legal review, product manager, frontend, UI/UX, architect, social media ops, growth hacker, quant finance, finance, backend, DevOps, database, QA, security.

DSH side of Blind Whale Farmer, a SMAPI mod in the same repo that lets an AI play Stardew Valley from a text game state through MCP tools: syncs play limits and extra instructions to the running game, adds an optional session preset or a single stardew gateway tool (both off by default), and sends "keep playing" when a Stardew session ends on a tool call that came back as plain text. Needs the mod installed in the game.

Domain-identity layer for long-running agent sessions — declaration-first domain addressing, a session factory, four-level pause, and model dispatch for coordinating multiple top-level sessions.

REST + SSE gateway exposing running Harness sessions to third-party clients: API-key auth, token streaming, workspace grouping, and adopting GUI sessions to keep chatting.

Forces context compression when running low-context llama.cpp models such as Qwen3.8-27B, improving model efficiency and usage smoothness, together with well-refined compaction prompts.

Plugin marketplace in Settings that targets any local profile, not just the running one: install, update and remove across web, headless and other profiles, with install-script warnings, an installed view that also covers non-catalog profile dependencies, and an automatic DSH restart when the current profile changes.

Bridges QQ into DeepSeek Harness over OneBot 11: private and group chats, on-device voice-to-text, image support, and ten interaction tools (poke, react, like, image, file, recall and more). Needs an OneBot 11 implementation such as NapCat running alongside.

Message-level rollback, single-message deletion, and replay-based restore for DSH sessions; operations are append-only surface replacements, with confirmation prompts and a running-session guard. Requires Node.js 23.5+.

Escape from Tarkov themed plugin for the DeepSeek Harness Web UI: hero Beta-warning banner, background music dock, event sound effects (done / approval / error), an Altyn desktop pet, and a randomized running-status line, with a Settings > Plugins panel.

Register locally-defined custom agents as callable subagents in dsh: the main conversation invokes any agent by name via use_agent, each running as a real dsh subagent with its own persona. Supports breakpoint resume for interrupted runs.

Personal memory sidebar and agent tools for Mory, with search, editing and optional GitHub/Gitee synchronization. Requires a Mory service installed and running on the DSH host.

Counts agent steps and, every N of them, adds a progress-report instruction to the batch that is about to be sent, so the agent states what it is doing, what it finished and what comes next, then carries on without stopping for you. Interval, prompt text and a main-agent-only default are editable in its settings page.

Adds a subagent_codex tool that delegates tasks to the local OpenAI Codex CLI, running the work in an isolated external process.

Manage conversation records from the DSH web GUI settings page: delete a whole session (archive plus physical log removal) or a single message (deleting a user message cascades to its assistant replies and tool results). Running and current sessions are protected.

Runtime requirement drift guard that keeps long-running DSH agents aligned with the user's approved goal, constraints, and decisions.

Adds a restart button to the DeepSeek Harness desktop app — it asks before restarting while work is running, and afterwards reports how long the app was down. Entries can live in the sidebar, the conversation header, the account menu or the settings page, and each one can be turned off. Extras include checking how much sign-in data is stored (a cause of startup failures) and previewing leftover temp files, counted but never deleted. Desktop app only.

Laya typed decisions (`noul` yes/no, `choice`, `score`) as a first-class Cordis service (`ctx.laya`) plus the model-visible `laya_ask` and `laya_plan` tools. The plugin itself installs and downloads nothing: it is a client of a `laya-mcp serve` sidecar you start yourself, and it reports that the sidecar is not running instead of failing obscurely at the first tool call.

Recall, edit-and-resend and regenerate, plus in-conversation versioning: a timeline of every rewind, artifact rollback (git-first, snapshot fallback), a fork map of explored paths, session lineage, and a real-time watchdog that snapshots the log at the first sign of concurrent writes. Edits auto-stop the running agent (official cancel/whenIdle) so rewinds never corrupt the durable log or break /compact.

A visual map for your sessions: every conversation is a card on an infinite whiteboard — workspaces become frames that fold their overflow into a drawer, card positions are never rearranged, lines between cards carry context (drag one to fork with an injected digest), and each card shows a status lamp for running, waiting, unread or interrupted.

Exposes a running DeepSeek Harness as an MCP server over Streamable HTTP or a bundled stdio bridge, so an external agent can create workspaces and sessions, prompt, fork, rename and switch the model on them, read and write files, run foreground and background shell commands, call the instance's own agent tools by name, and read per-turn and cumulative token usage with a cost receipt when a price plugin is installed.

A judgment core for DeepSeek Harness: a cognition loop that gives every decision a source and attribution and drives planning to a close, hippocampus memory that condenses running experience into knowledge (journal ledger, episodic archive, low-confidence decay), judgment identity responsibilities in the architecture (consistent rubric, judgment bound to its source), and an A2A memory-management team via dsh-linghun-assembler. Requires DSH ^0.1.0-rc.7 (rc.2 supported).