Plugins

Fully local long-term memory for dsh: cross-conversation and cross-project, stored as a single JSON file on your machine with no network calls, no model calls and no API key. Ships memory_save, memory_search, memory_list, memory_forget and memory_review tools, keyword-and-tag recall injected before each turn with adjustable ranking weights, Markdown import (including Kun and Hermes Agent formats) and export (native and Hermes Agent formats), and a settings page to browse and edit memories.

HarnMem memory plugin for the DSH (DeepSeek Harness) agent: byte-stable hot-index injection, memory tools, session-end extraction, and a read-only memory browser panel.

Keep a multi-PR effort on one board you can trust at a glance: the hub agent keeps a tree of steps, each linked to its issue, PR, branch and worktree, through four board tools, and you see what is done, what is blocked and what needs you in a right-sidebar Board tab and a progress strip above the composer. Each board is one plain JSON file your scripts can read, and an optional drift command you configure flags steps whose status no longer matches their work.

Port of pstack to DeepSeek Harness: 58 agent-workflow skills plus a deterministic router that picks each subagent model from the models you checked for subagents.

Layered long-term memory for DeepSeek Harness: a ~600-character hot layer that evicts its own overflow, month-archived cold entries recalled by keyword and ranked by usage, and extractive day/week/month summaries.

Personal QQ channel for dsh: managed NapCat with QR login, private/group AI replies with batching and image understanding, local archive with polling backfill, in-group @ and self-recall, QQ Zone guestbook tools, and a sidebar panel. By default any QQ user who DMs the account (or @s it in a group) gets an AI reply; set access.privateMode / groupMode to allowlist to restrict. Owner-only commands stay owner-only.

Cross-harness agent memory for DSH: one plain-file store shared by the DSH and pi adapters and the harnmem CLI, so a memory written in one harness is available in another; injected as a byte-stable hot index, with five harnmem_* tools, session-end extraction, and a read-only memory browser panel.

Structural long-term memory for DSH: supersede, decay and entity-state tracking across 15 MCP tools, automatic recall and capture hooks, and a bounded pointer index published per request instead of filling the window. Requires Python 3.10+ with torch and sentence-transformers; the first run downloads a ~470 MB embedding model.

Draggable bubble graph of DeepSeek Harness workspaces and sessions in the Web UI: workspaces are large bubbles, sessions are small ones, and lines show real membership. The canvas supports pan, zoom and fit; filters cover workspace, status, type and archive state; search covers workspace names, paths and session titles; native actions open or create sessions, rename workspaces, and archive or restore sessions. Layouts are saved in the browser.

Keeps heavy tool groups out of every request, and can scope tools per session or per role: the role key comes from the host's own session label, subagent marker or preset, so an orchestrator's child agents each see only their own group allow-list. Also auto-groups new tool families by name prefix, lets the agent classify ungrouped tools once, brings a hidden tool back when it is actually called, and exposes a health snapshot of what each session can really see.

DSH remote-development local plugin: host registry, SSH tunnels, remote workspace/session discovery, an authenticated Connection RPC surface, agent tools, and a Settings page.

DSH Studio: build, edit and apply DeepSeek Harness agent presets — tools, prompts, Configs and role-based subagents — from the web GUI.

Bridge DeepSeek Harness sessions to Cherry Studio desktops over the LAN - QR pairing, 14 cherry_* tools for agents/sessions/history/interactions, and a settings page for devices and per-workspace tool scope.

The official ZCode ios-simulator plugin ported to native DSH tools: the original 20 ios_* tools keep their names and arguments, plus ios_shutdown_simulator, covering Xcode project discovery and scaffolding, simulator boot and shutdown, build, install, launch and terminate, screenshots, log reading, an in-app settings page and optional idb UI automation. macOS only.

Android development toolchain inside DeepSeek Harness: 23 android_* tools that find the SDK, create and manage AVDs, start and stop emulators, scaffold a Kotlin/Compose project, build and run it with Gradle, then install, launch, screenshot, tail logcat and drive the UI. A settings page holds the SDK, emulator, API-level, build and output parameters.

Registers native doubao_generate_image and doubao_image_status Agent tools to automate Doubao Web (doubao.com) via Tabbit Browser, automatically extracting watermark-free 2.7K wm0 original images into local files and multimodal chat attachments.

MCP server manager for DeepSeek Harness settings: add streamable-http or stdio servers, paste Postman-style headers, test connectivity, and toggle each tool so disabled ones never reach the model.

Keyless web search with one web_tools entry and eight actions for multi-query search, date windows, packages, papers, repositories, platforms, page reading, cited research, cache search and engine health; fuses eight engines and ships a stdio MCP server for other agents.

Continues work across coding agents inside DeepSeek Harness: six sessionflow_* tools query a local session index built by sessionFlow to find past work, show where the current project left off, and hand the goal, files and open items to the next agent. Requires the separate sessionFlow core, installed from its GitHub repo. Everything stays local — no cloud, no telemetry.

The real ComfyUI editor as a sidebar tab in DeepSeek Harness, with per-session tools that read and edit the graph on screen and a panel that can start, stop and restart ComfyUI without installing anything into it.

Long-term memory for DSH stored as plain Markdown. Real user/assistant exchanges are captured into daily session files without a model call; an LLM pass then distils them into memories that are injected into the system prompt each turn. Retrieval is local (CJK bigram + BM25) in three levels — index, summary, full text — so the model only pays for the detail it asks for. Memories carry priorities; P0 and user-written entries are never changed automatically, and forgetting marks an entry stale instead of deleting it, so the whole chain stays auditable in status.md. Six tools cover recall, write, status, extract, feedback and the skill library; when a cluster of memories is ready to become a skill, a card appears at the end of the turn, writes the SKILL.md on click, and installs it only after you approve. Learning is on by default and follows the conversation model; turning the master switch off stops the LLM entirely while capture keeps working. Failures are surfaced in the prompt and in status.md instead of being swallowed. Pure JavaScript, no third-party runtime dependencies beyond the harness packages.

FHL Images generation and multi-reference editing for DeepSeek Harness, with three agent tools, a pool of up to ten API-key workers, and chat-based key configuration.

Read-only audit of the local CLI toolchain as a sidebar panel in the DSH web GUI: lists installed versions across Homebrew, npm global, pip, Rust/Bun/uv and self-updating CLIs, flags which ones have a newer release available, and shows the dependency impact for installed packages. It reports only and never runs an upgrade, so no tool on the machine is modified. The DSH plugin ships on npm as `dsh-cli-doctor`.

Cross-session memory kept as a short Markdown living document that is rewritten in full at the end of every turn, written to by model tools, the page, and automatic rewriting alike.