Plugins

Generates release material from what a local repository can actually support: a hero image, a feature grid and bilingual copy rendered as SVG and HTML from `README.md`, `package.json` and optional screenshots. Facts are quoted from those files — name, version, license, summary, features, install snippet — and a field that is missing is left unrendered rather than filled with placeholder text. Every feature carries a source citation such as `README.md#L42`, and a claim the repository cannot substantiate is linted out before anything is written, with the reasoning left in `lint-report.json`. `manifest.json` records a sha256 for each input and output, and `--now` or `SOURCE_DATE_EPOCH` makes a run byte-identical. Also ships a GUI panel that regenerates from inside a session.

Turns a streaming assistant reply into short blips, one per character at a configurable minimum spacing, for the reply text only, and keeps sounding when the window is minimized, covered, or in a background tab. Two built-in voices, or a custom one shaped by waveform, or loaded from an audio file.

MiMo TTS speech synthesis for DeepSeek Harness: a speak button on finalized assistant messages with an inline player (draggable progress bar), a plugin-page configuration card with preview playback, and a voice-history settings page.

Adds an Omni-modal settings section to DeepSeek Harness that points the harness at any OpenAI-compatible image and video endpoint: switchable config profiles with separate endpoint, API key, model, path and size for each side, free-form extra request parameters, a connectivity test that does not spend generation quota, and three model-visible tools — generate_image, generate_video and check_video — with async video tasks that survive restarts.

Removes the model-capability gate that blocks image prompts: patches llm.resolveModelInfo results and adapter model tables to declare image input, so routes with no declared input modality can send and read images. No app.asar or config-tree edits.

Add PaddleOCR vision to text-only LLMs like Agnes, DeepSeek, MiniMax, GLM and Mimo. Supports local files and URLs. Free tier of 20,000 pages/day; needs a PaddleOCR API token you apply for (free, 1-3 business days).

Pixel-level screenshot diff for visual regression. Two local PNGs in; a machine-readable first line (`PIXEL_CHANGED=true|false`, greppable as an assertion), then the difference ratio, per-region bounding boxes, maximum channel delta and mean absolute error, plus a self-contained HTML comparison page. An ignore-region list with absolute or fractional coordinates excludes clocks, cursors and other per-render noise. It deliberately does no content recognition: it answers only "did this change", which is the part that can be made deterministic. Entirely local — no model call, no network, no upload.

Adds a right-column panel that compares a set of images the user picks from the workspace — 1/2/3/4/6 per page, per-image zoom and pan, the zoom and viewed position of one image synced onto the whole set, and a reorderable filmstrip. The browser loads every image, so none of it reaches the model.

Open the extension side panel and it takes over the page you are browsing right now. On top of upstream it adds: hover, coordinate clicks, drag, batched action chains, whole-page screenshots, local file upload, image listing, and switching between several connected browsers. Pages reach the model as structured text with a numbered element list; actions wait for your approval and sensitive fields stay masked. Ships as the bridge plugin, with the extension in the same release. This project is a fork of omdsh-dev/dsh-browser: https://github.com/omdsh-dev/dsh-browser

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 six tools (dschat_status, dschat_send, dschat_stop, dschat_recover, dschat_import, dschat_transfer).

Settings panel for MCP servers registered by @deepseek-ai/dsh-mcp-client: toggle each server on or off with live effect, see the registered tool count and estimated context-token cost of each server, and persist the choice to the home cordis.patch.yml with a timestamped backup before every write. Maintained fork of dsh-mcp-toggle.

DeepSeek API billing-period chip in the composer dock: shows whether the current time is peak or off-peak with a countdown to the next rate switch, opens the peak/off-peak window rules on click, and during peak hours intercepts sending to ask for confirmation first.

Gives the agent its own clock: per-session time readings whose precision the agent can change at runtime, elapsed-time counters, and one-shot countdowns that survive a host restart.

Folder time machine for DeepSeek Harness: snapshot any folder, browse its timeline, roll back with one click — Git-like history without needing Git, for folders that never had a repo (game saves, app config dirs, loose documents). Snapshots are content-addressed and deduplicated, and unchanged files are not re-hashed. Automatic snapshots come in two modes: realtime (fs.watch — one version ~8s after the last change, so a save-all or a build counts once) and timed (checks every N minutes, stores only when something actually changed; identical content never adds an empty version). Empty folders are recorded and recreated on restore. Every restore takes a safety snapshot first, so a rollback is itself undoable, and exact-mode cleanup only removes files and empty folders — a non-empty folder is never deleted. Ships a folder_timemachine model tool (status/history/diff need no approval; writes ask first) plus a floating panel with the timeline, one-click restore and mode switching. Pure JS, zero runtime dependencies, 110 tests included.

Imports the MCP servers Codex and Claude Code already declare as dsh mcp-client tools, links the skills of 22 known agent skill directories into ~/.dsh/skills as symlinks instead of copying them, and adds a Settings page that lists what was mounted, toggles each skill, and changes the source on a name conflict.

A shareable delivery receipt for a project hand-off. The `ship_receipt` tool measures what it can and records what it was told, then sorts every line into three zones: verified (evidence this run produced and that reproduces elsewhere — a command that actually ran with its exit code, a file hash for a file that is under version control, a scan that found files, a git ref present in the recorded remote), local-only (true on this machine alone — uncommitted changes, unpushed commits, an artifact no one else can see), and unverified (no evidence, including every sentence a human typed). A claim with no evidence keeps its label and leaves the body blank rather than printing the claim; declares the commit and branch, artifact byte sizes and sha256 with PNG dimensions, and the three pre-push checks.

A delivery receipt panel for a project hand-off. One trigger collects the branch and commit, the test and build results, screenshot dimensions with sha256, and the secret-scan verdict, then assigns every line to one of three zones by evidence alone — verified, local-only, or unverified. A claim in the unverified zone keeps its label and prints an explicitly empty slot instead of the claim itself, because a confidently worded sentence with nothing behind it is the exact thing the receipt exists to catch. Test failures and secret-scan hits are still evidence, so they land in the verified zone with a red tone rather than being quietly dropped.

Import the copied connection information from the new API site with a single click.

Balance dashboard, allowing the addition of multiple pay-as-you-go/Token plans, while simultaneously checking balances.

C++ runtime info probe for Windows via CDB: cpp_trace prints variables at multiple breakpoints in one session (replaces hand-written print), cpp_probe dumps the call stack at a conditional breakpoint. Install: dsh plugin --profile web add dsh-cpp-probe.

Generate images and videos directly in chat and deliver them to the conversation: generate_image / generate_video / send_media tools, a built-in Agnes free tier plus any OpenAI-compatible backend, background jobs that auto-push finished media, and inline gallery and video cards with download, lightbox, and native open.

Injects your existing markdown documents (notes, rules, knowledge-base files) into every dsh session's system prompt as read-only memory — list file or directory paths in `files`; no database, no service, no write path; UTF-8 byte-budgeted truncation with line-boundary fallback, total budget, YAML front-matter stripping, and freshness timestamps.

Cross-session long-term memory: a hybrid-retrieval memory store (BM25 plus CJK bigrams), chunked long-document search, chat-log extraction and distillation, and context-summary archiving and browsing, with important memories and the latest summaries auto-injected into the prompt.

Replaces rolling narrative summaries with an append-only session index, so early facts survive compaction verbatim and shadowed text stays retrievable by anchor.