Plugins

Registers one `ocr` tool for text-only models: it runs the offline script bundled in the repo over a single image or PDF and returns the recognized text — Windows native OCR first, then RapidOCR, then Tesseract. Recognition runs locally with no network request and no API key. Needs Python 3.11 on PATH plus `pip install winocr pillow` (winocr is the preferred engine; RapidOCR and Tesseract are fallbacks). Per-line results for images, per-page results for PDFs.

Tavily backend for the built-in web search: an in-process endpoint at 127.0.0.1:8787/v1 turns its requests into Tavily searches; up to 10 API keys stay in the DSH credential store, rotate per request and switch on auth, rate-limit or quota errors; a settings card manages keys, runs a test search and points web search at the endpoint.

Browses Douyin videos in a dedicated Edge browser with configurable time limits, shared local persona and interest memory, native settings, and Markdown viewing reports. Messaging, sharing, greetings, and public comments each require separate opt-in permissions.

Chat with the DeepSeek web app (chat.deepseek.com) in a native DSH panel — a real browser drives the site on your existing web login, with streaming replies, deep-thinking and smart-search toggles, and image or document attachments. Conversations can be recovered from the web side, exported as Markdown, and distilled or replayed into a harness session, and the agent reaches the same web chat through five tools (dschat_status, dschat_send, dschat_recover, dschat_import, dschat_transfer).

Read-only DeepSeek web archive tools for DSH: list/download/search sessions, share-list, and a digest tool that compresses the 100-session history into one high-density page with activity bars and topic clusters. Write operations are intentionally not exposed (the web client rate-limits them). Requires the separately installed deepseek-ops Python client (github.com/Panniantong/deepseek-ops, by another author) with QR-code login; set scriptDir to its path.

NewAgentUniverseByDeepSeek nodes inside DSH: five read-only tools covering provenance (both upstream releases this build names), a data directory's restored state and ledger audit, the conformance vectors, exact decimal conversion, and node reachability. Driving the node -- starting or stopping a daemon, depositing funds, sending bus messages -- is deliberately not exposed, because those are audited privileged operations in this project.

Prior-art search for an idea: three tools find similar open-source projects on GitHub, rank them by a score computed in code from a relevance judgement and the star count, then read the chosen repositories (README, dependency manifest, directory tree, key files) and report the class and function declarations found in each file header; files_read lists what was actually fetched.

ZCode-style enhancement of dsh plan mode: a model-initiated enter_plan_mode tool, hard interception of write-class tools at dispatch time (ctx.tools.guard) while planning, and a four-phase planning prompt section (explore, design, review, exit), reusing the official plan/mode state machine and exit review flow.

DSH hardware sandbox plugin: assemble a 3D scene of ESP32 / BME280 / PIR / LED components with protocol- and voltage-checked port wiring, run real Python project code in the loop against simulated I2C/GPIO hardware with fault injection, let networked device simulators report over HTTP to a real backend (validated end-to-end against a live seat-reservation system), observe a real device read-only and map its state onto the scene, and add support for new boards through data-driven pin definitions. Ships 16 hw_* agent tools plus a bundled SKILL.md.

Mounts the tsm-core-dlr semantic service (LanceDB vectors + graph) as MCP tools and ships the scenario-independent DLR/TSM modeling skill, a service-status overlay and the agent rules; the service is a hard dependency and must be running before the bundle activates.

Add MiniMax image understanding, image generation, speech synthesis, and transcription tools to DeepSeek Harness.

In-session cd for DeepSeek Harness: re-base relative paths on the fly (the file tools and the bash/pwsh default workdir follow) or move the session to another workspace for real — a `cd {"workspace": true, "confirmed": true}` call the user has agreed to, or the user's own `/cd <directory>` command, relocates the session's stored log, sandbox root, AGENTS.md and skill discovery and sidebar grouping. Per-session, persisted across restarts, without moving the session for a plain re-base.

Bridges the CursorTouch/Windows-MCP desktop automation server into DSH through the official MCP client bridge, registering its screenshot, UI tree snapshot, mouse and keyboard input, clipboard, process and registry tools as mcp__windows__* tools for the model, and adds a windows_mcp_doctor diagnostic tool. Computer Use is off by default and is switched on from the plugin panel.

Construction cost workbench for DeepSeek Harness projects.

Model failover router that queues all connected DSH models, retries with continue text on failure, switches to next model, and quarantines failing models for the day.

Unified MCP, skill and expert management board for DeepSeek Harness: connection status, tool schemas, enable/disable and reconnect for MCP servers across global and per-project scopes, enable/disable of SKILL.md skills, attach/switch/detach WorkBuddy expert personas in any conversation at any time (429 experts) with no mid-session preset lock, a tool tailor that scans local session logs for per-tool call counts, error rates and context-token cost with one-click disabling, and three install markets (SkillHub 190k+ skills, WorkBuddy connectors, 47 verified built-in services).

User-authored long-term memory in four tiers (must-follow rules, behavior settings, user profile, optional rules), injected as a system-prompt section, with agent tools to propose edits and a Chinese panel where the user reviews and applies them.

A memory subsystem for DeepSeek Harness: full ontological memory (event/fact/rule three-ontology) plus a goal system (goal.js) — belief values written via Bridge trigger words, goal activation scored at read time (0.25 domain + 0.35 bridge + 0.40 sim) to recover goal/value long-range associations, journal ledger, episodic archive, low-confidence decay, memory_append/read/consolidate plus linghun_goal_update/get/state closed loop. Independent of the original dsh-linghun line. 16/16 on LoCoMo-Plus.

All-in-one local memory: JSONL files per scope (session, project, global, or a custom name) with per-scope dedup, four model tools (memory_save, memory_search, memory_list, memory_forget), automatic recall injected into agent pre-step, and a settings panel. Retrieval combines lexical IDF with a local embedding backend, which the panel can install and manage itself.

Long-term memory scoped to the DSH workspace. A session opens with a one-line-per-memory index - bodies are fetched on demand by the `memory` tool, so the same character budget holds about three times as many entries - and when a turn ends a purely local search over the last user message pulls the matching memories into the next briefing at no model cost. Optional auto-capture distils a stretch of conversation into structured memories; in draft mode they wait in an approval queue instead of landing directly. A portrait layer keeps a workspace and a global picture, rewritten from the journal and the records, with the same draft-or-direct choice. Settings → Memory holds the archive, list and timeline views, a health check (duplicate clusters, stale entries, broken links), the supersede version chain with rollback, and a read-only scan that imports existing WorkBuddy / Qoder memory files.

Session trash: move conversations to a trash instead of deleting them, restore them, or delete them permanently after a second confirmation; a session opened in this run is hidden and moved at the next start.

Read-only attachment library: lists every image and file attachment stored on this machine, its size, and which conversations (including those in the session trash) still use it, with Show in Finder and Open in Preview.

Routes DSH web search through the current session's model and a self-hosted retrieval backend.

Cross-workspace DSH messaging and sender navigation, with bounded same-workspace context and opt-in local Claude Code messaging.