Plugins

WSL console for the harness — manage distributions, edit .wslconfig and wsl.conf in a typed form, and run commands, file edits and long-running processes inside any distribution with its own wslx-* tools.

Rolling-window batch scheduler for DeepSeek Harness subagents: one subagent_batch call carries a queue of independent subtasks plus a user-owned concurrency window, a settled child's slot is refilled immediately, and the call returns every child's final answer, stop reason and child id as one acceptance report. async mode keeps the pool running in the background for subagent_batch_status, and the window comes from config, DSH_SUBAGENT_BATCH_CONCURRENCY or a hardware recommendation.

Computer Use for every DSH session: screen capture, mouse and keyboard, app launch, plan and skill replay, an audit log, guards for dangerous actions, a background code agent, and an OCR workflow (text and coordinates) for apps whose accessibility tree is empty. Verified on macOS only: Windows has a basic GUI backend that is unverified, Linux has no desktop backend (calls fail with unsupported_platform), and the window/AX/browser/clipboard tools register on macOS only.

Manage Oracle, PostgreSQL, MySQL, MariaDB, SQL Server and SQLite connections with driver diagnostics, column defaults/comments, and opt-in metadata browsing for agents; requires a separate Python 3 environment with the per-driver packages (SQLite needs only the standard library).

After an agent's own bash or shell command, re-observes the files that session had observed, so FS_STALE_VERSION no longer fires on self-inflicted writes but still fires on writes by others.

Drive the NI Multisim 14.3 install on a Windows machine through nine msim_* tools: open and save .ms14 designs, read and edit component values and circuit parameters, run DC operating point, AC sweep, single-frequency AC and transient analyses, export schematics, BOM and netlists. A Win32 channel drives the visible window to run the Analyses dialog and capture Multisim's own schematic view and waveform plot; a SPICE command-file engine handles designs that expose no probes; an offline reader unpacks the .ms14 container without starting Multisim at all. Requires Windows, NI Multisim 14.3, and a 32-bit Python 3.11-3.13 with pywin32.

Region screenshot for DSH without a hotkey (Windows only; capture runs through PowerShell + GDI). Hold the left mouse button for 550 ms, the page dims into a crosshair, drag a box, release: the crop is saved to ~/.dsh/longpress-shots and copied to the clipboard, and a preview card can send the same bytes into the composer (button, Ctrl+V, or drag) instead of hunting for a file dialog.

Look up Chinese companies inside the conversation: name a company and get its business registration, shareholders, executives, outbound investments and registration changes, plus judicial and operating-risk records such as enforcement, dishonest judgment debtor, consumption restriction, abnormal operation, serious illegality and administrative penalties (11 dimension groups). Results render as conversation cards with fields and the raw payload on expand, and the API key is saved from the plugin page into the Harness credential store.

Indexes public AI-company job boards (Greenhouse, Ashby, Lever, Workable, SmartRecruiters), scores postings for AI relevance, extracts the requirements from each job description, and produces a scheduled daily Markdown digest.

Bilibili companion for DSH (MIT fork of Alterssss/dsh-bili-whale; do not install alongside the upstream — both register the same `/dsh-bili/` settings routes and share `~/.dsh/bili-whale.config.json`): wakes on a schedule, reads videos through subtitles, danmaku, hot comments and covers, writes two diaries, and shares at most one pick per wake by commenting on the video and @-mentioning the owner (daily quota 3; DM when `share.via=dm`). Inbound DMs, commenter names, summary requests and live danmaku are normalized and scanned for injected instructions before they reach the model; only the owner DM channel can carry an authorization prefix.

Computer cleanup for Mac and Windows: disk cleanup, storage cleanup, caches, leftovers, similar photos; scans read-only and moves files to the Trash on macOS or a quarantine folder on Windows, with undo.

Adds seven `art_*` agent tools plus a right-sidebar drawing workbench (series, pages, revisions, regions, camera blockout) that submits ComfyUI graphs to a ComfyUI instance you host, for MOSS/K2 text-to-image, inpaint, character references, region editing and Qwen-Image edits, with up to four caller LoRAs stacked per request. Requires a local checkout and one adapter step: after a marketplace install, run `install/adapt.mjs` (or use `install/install.ps1` on Windows) to replace the `__MOSS_*__` placeholders with an absolute `workspaceRoot` and a ComfyUI origin; until then the Host refuses to load the preset with `MOSS_CONFIG_*`.

MySQL and PostgreSQL connection manager with a schema tree, table search, SQL console with completion, and four agent tools for listing connections, searching tables, inspecting structure, and running queries.

Emotion, energy and per-user portrait engine for AI characters: a 303-word leveled emotion library with lowest-level replacement and a promotion buffer, a spirit meter with easter-egg state transitions (excited / suppressed / angry), and per-user portraits. Requires your own OpenAI-compatible LLM endpoint and API key (EMOTION_LLM_KEY or emotion/config.json).

Local-first, file-native long-term memory for DSH with per-turn preflight, compact context injection, citations, human-approved writes, manual consolidation, nightly report-only maintenance, and a Web panel that is read-only for knowledge while allowing workspace-config edits.

Three ledgers for a model that loses context between restarts. Self-note: what I have become — capped at 40 entries, and every eviction first leaves a one-line crease recording which entry was dropped and why. Judgment ledger: record a claim together with how to verify it, come back when it is due, and mark it right or wrong; wrong ones stay in a mistakes book so you stop assuming you were always correct. Handoff: where this run stopped and what the next one should read first — a baton, not a memory. Three tools each taking an action parameter instead of a dozen separate ones (the prompt is paid every turn). Data lives in ~/.dsh/*.jsonl and is shared with the same-named CLI scripts. Zero dependencies.

Obsidian-compatible Markdown notes in the DSH sidebar with search, tags, backlinks, graph, audio notes with transcription, a paint canvas, OCR (needs tesseract), client-side encryption and notes_* agent tools; the release tarball and the npm package carry a prebuilt Linux x64 daemon, other platforms build it from source with Go.

Copies the compaction checkpoint into the sticky-notes archive when context is compacted and wakes the session to write what was lost.

Diary and narrative memory for companion agents: daily first-person entries scoped per group or private chat, refs that can be checked against that day's messages, and a read-only journal page where hand-drawn doodles and photos follow the sentences they belong to.

Stores the agent's long-term memory as plain Markdown in an Obsidian vault — every memory is a .md file with YAML frontmatter that Obsidian indexes natively, so you can read, edit, link and back up it with tools you already use. Nothing is locked in a database. Ships a sidebar panel (tag filter, sort by recency or importance, edit in place), 7 agent tools, three-tier token-budgeted recall, BM25 ranking (no embeddings, no API key, works offline, CJK bigram tokenization), importance decay with archiving (moved to .archive/, never deleted), and optional GitHub Contents API sync. A note containing a secret is refused rather than redacted, because a redacted memory reads as complete while the important part is gone. Zero runtime dependencies; everything comes from the DSH host.

Elides stale, oversized plain-text tool results from the model-visible session surface once the prompt cache goes cold, replacing each with a stub that keeps the tail lines and any error lines, and reports per-request and cumulative savings in the composer footer.

One settings card that gives every DSH agent mode its own compaction threshold: it registers <mode>-compact-<ratio> preset copies with compaction-basic.thresholdRatio rewritten, re-registers when the value or the selection changes, and can adopt one copy as the default mode (standard > cordis > minimal > ptc).

Replaces the built-in compaction provider: at a configurable fraction of the context threshold (85% by default) a detached task summarizes everything up to the previous turn, and the next step boundary commits that held summary as a checkpoint with zero model calls, so the swap itself takes milliseconds. /bcompact \[message] starts the same generation on demand and then sends the message. A settings page sets the trigger ratio, the summarization model, and how many consecutive failures stop background generation until a half-open probe gets through. Subagent sessions, a changed prefix or an expired summary fall back to the built-in synchronous path.

Idle-time context truncation for a single DeepSeek Harness session. After a configurable number of idle hours the older conversation is dropped without a summary, so one long-lived session cannot leak one task into the next; it ships a per-session toggle, a tab next to the chat, and a /truncate command that IM bridges can drive.