Plugins

ADHD-friendly output shaping where the mode belongs to one session, not a global setting: switch it with /i-have-adhd on|off in the conversations you want shaped, and the state stays with that session. Ported from ayghri/i-have-adhd.

Converts Office and PDF files in the DSH workspace to Markdown locally — no network, no API quota — before the model reads them. Writes each .md next to its source so only a file path enters the context, and returns byte size, line count, token estimate and a heading outline, for a single file or a whole directory.

Distills daily AI conversations (Doubao, ChatGPT, DeepSeek, Kimi) into structured Markdown notes in your Obsidian vault.

Give the agent a talking face: seven tools that drive a self-hosted Mynah realtime digital human — speak (queued or interrupting), play a gesture clip, interrupt, list live sessions and channels, check health, add text to its knowledge base.

Adds two Volcengine Doubao cloud speech recognizers to the DeepSeek Harness voice-input picker, optionally rewriting the transcript with an LLM.

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).

Local art pipeline for DSH: drives the locally installed SD WebUI and ComfyUI backends through ten image_* tools and an Art Studio sidebar panel with an embedded ComfyUI canvas, post-processes with the Python shipped with those installs (rembg cutout, Real-ESRGAN upscale, seamless tiling), and writes Godot-ready assets with res:// paths once a project root is set.

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.

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

Publishes an ordered system prompt section that names wsl as the command executor to reach for first, so the agent prefers WSL over PowerShell on Windows. Registers no tools, and only advertises executors the agent can actually call.

Inspect and tidy a real Android phone over adb: storage surveys, per-app data sizes read from dumpsys diskstats without root, cache clearing that preserves app data, directory measurements and screenshots — five tools; reads never modify anything, writes require explicit confirmation.

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.

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.

Complementary web-search provider: every web_search merges the DeepSeek Search API (primary) with serper.dev Google results (secondary) at a fixed 2:1 ratio. Both sides are direct HTTP retrievals with no auxiliary model turn: URL-deduped sources, long DeepSeek summaries clipped into snippets, per-backend timeouts and graceful degradation to whichever backend answers.

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.

Windows computer use for DeepSeek Harness: a persistent PowerShell UIA backend behind 16 merged MCP entries (read/click/type/observe/verify), a hardened policy layer (red lines, approvals, observation binding, point-ownership and focus guards) and a performance pass (prewarm, caching, pixel-hash stability probe). Fork of dsh-computer-use-win.

A context usage ring with configurable character-based automatic compaction, manual compaction, protected user requirements and recoverable original history for DSH 0.2.0-rc.2.

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.

Adds a delete-session action that permanently removes session logs, workspace entries and archives.

Pins a selected passage of a finished user or assistant message as source text and keeps it in the model input across context compaction: each pin is recall-on-demand by default, or can be moved to a neutral resident system-prompt section or an emphasised highlighted one. Selections are aligned back to the source text with source-exact, source-normalized or rendered fidelity, and each of the three levels has its own character budget.

Removes subagent entries and orphaned projection caches from DeepSeek Harness session logs after the app quits, always dry-run first and with a full backup.

Two-step session deletion: the session menu moves a chat into a recycle bin without deleting anything, the bin panel restores an entry, deletes one for good right away, or empties the whole bin, and the next start wipes its log, projection cache, spill files and workspace membership.