Plugins

Frontend aesthetics engine as 17 native tools — a 118-palette evidence library matched by register, cross-register whole-page design directions, four mechanical gates (WCAG contrast, color-blind simulation, AI-slop detection, scorecard) with digest-bound verdicts, plus semantic design tokens, existing-page audit, CVD-checked chart palettes, CJK type scale, render-vs-tokens reconciliation and measured-numbers rationale. Fully local, zero network. Requires Python 3.8+.

Drives a local Hiddify installation from DeepSeek Harness without its GUI: seven tools to start and stop the core, switch split-tunnel modes (rebuilds the config and restarts the core), rotate exit nodes through the Clash control plane, and search or fetch pages through the proxy. Windows only.

Moves DSH plugins between machines and profiles: export a migration bundle where local plugins keep their source and remote ones reinstall by version, restore it elsewhere with the bundle's own restore.mjs, copy plugins to another profile, or pack the whole environment (config, memory, sessions, attachments, plugin sources) into checksummed volumes with a restore script.

Turns a learning request and local materials into a structured, locally stored AI course with outline, lessons, diagrams and learning progress.

Turn English audiobooks (MP3) and documents into listening lessons: transcribe every sentence locally with the speech model DSH voice input already downloaded (about 241 MB, fetched on first use if missing; ffmpeg required), proofread and explain each sentence with your DSH model, then drill with blind listening, intensive listening and spaced repetition, with Chinese-dubbing export and offline Kokoro voices; ships a sidebar panel and four AI tools.

Five production-grade DSH tools bundled into one plugin (8 tool slots total): git regression finder (find introducer, recent changes, bisect, blame age), stack-trace decoder with local code context, YAML/ENV/properties config validator with typo suggestions, cross-platform shell escape (POSIX/PowerShell/cmd), and MyBatis Plus SQL static auditor (N+1, missing @Transactional, LIKE leading %, SELECT *, missing WHERE). Zero npm dependencies, all offline; concurrency-safe except the bisect tool (dsh-when-broke). Each sub-plugin is also installable standalone (dsh-when-broke, dsh-stackdecoder, dsh-config-guard, dsh-cmd-shield, dsh-mp-auditor).

Ship a local DSH plugin project to GitHub and the plugin market in one call: preflight, per-file upload with byte verification, the market registry PR, then pull every published file back and compare bytes.

One screen for every work you have shipped: local project facts, GitHub stars and last push, whether the plugin market has picked it up and how many downloads it has, plus pending pull-request wait times against the upstream median.

Windows GUI automation reliability layer: probes whether a window is minimized, foreground or DPI-scaled, then clicks and types with the coordinate space and activation order handled for you. Zero dependencies, local only.

Hand a local file to any program's file picker: wait for the native Open dialog, paste the path through the clipboard, read it back to verify character by character, then confirm. The target is always explicit and every step leaves evidence. Windows only (EnumWindows / UI Automation).

Take a local video all the way to a Douyin creator post: open the upload page, trigger the picker, hand the file over with verification, fill the title, set visibility - then stop before publishing unless explicitly told to publish.

Local BM25 auto-recall, a fail-closed write guard, a static doctor and a memory panel for an Engramory markdown store. No network, no daemon and no model calls unless you opt in; recall quality is measured by a reproducible benchmark in the repository.

Local memory for DeepSeek Harness: what you write is filed under a topic and linked to related entries, recall ranks results by embedding similarity (word matching when no model is installed), and the data stays in a local SQLite database.

Archives the QQ Zone posts you published yourself into a local library, auto-sorted into three columns — thoughts, dreams and reviews (book/film recommendations) — all three of which can be corrected by hand, one column at a time, and undoing a correction never disturbs the other two. Ships a private web viewer that can be locked with a password, repairs long posts that the upstream API truncates to its first ~500 characters, counts words by year and month, and backs up attached images for offline reading. The cookie is stored on the local machine only.

Turns a local Markdown vault into two folders the user picks in Settings: a knowledge folder DSH writes notes into, and a memory folder used as the agent's long-term memory with per-turn recall and end-of-turn capture. Pure Markdown with frontmatter, BM25 search, reversible archive, and path isolation that rejects traversal, absolute paths and symlink escapes.

Local long-term memory for DSH: browse, search (BM25 + synonyms) and edit entries in a panel; folders, archive and a recycle bin; choose per session what to inject; model-written memories need your approval; import/export backups; optionally sync across devices via your own Git or WebDAV.

Local code memory with automatic source context, symbol lookup, vector search, and dependency graphs for JavaScript and TypeScript projects.

Runs the upstream Headroom compression toolkit (headroom-ai, Apache-2.0) inside DeepSeek Harness over MCP: headroom_compress, headroom_retrieve and headroom_stats are exposed as mcp__headroom__* tools backed by the upstream server, installed on demand by uvx. Compression is lossy but reversible — originals are fetched back by hash from a local CCR store. Also ships a registrar that adds DeepSeek Harness to Headroom's own MCP registry, and a model-header sanitizer for the upstream proxy.

A private memory library for DSH with customizable personas that only records when you ask, storing everything locally in Markdown.

Local-first knowledge base for DeepSeek Harness: imports Word/PPT/Excel/PDF (text or scanned), EPUB and MOBI/AZW3, builds Markdown parts with page anchors, OCR quality/confidence and column-aware PDF reading order; adds an LLM-maintained wiki layer (schema.md rules, auto index.md, append-only log.md, typed notes with sources and backlinks), adds source-trust labels (high/medium/low) with trust-aware ranking and low-trust warnings, and supports ranked search, cross-KB query, precise reading/editing, and md/jsonl/zip export. MOBI/AZW3 need Calibre; legacy .doc/.ppt need Word/PowerPoint (Windows) or LibreOffice (Linux); scanned-PDF OCR downloads models on first use.

Delete sessions for real from the dsh sidebar (local logs and projection cache included, subagent and fork children cascade) and manage workspaces and ungrouped sessions, with an optional daily cleanup of ungrouped sessions.

A DSH conversation workspace: turn actions, provenance quotes, local notes and summaries, in-conversation find, focus lock, and per-workspace command buttons.

Deletes a session from the sidebar session menu: its log and replay cache go to the Recycle Bin on Windows (a local trash folder elsewhere); a live session is queued for removal on the next start.

A human-in-the-loop curation workbench inside a DSH session: mark whole turns or single messages to keep verbatim or to summarize, rewrite user, assistant, tool-result and injected-context messages in place without a model call, then compress the marked ranges with model-written summaries or the official /compact. A local JSON backup is written before every write to the session.