Plugins

Agent2Agent (A2A) protocol bridge: serves an A2A endpoint with agent card, message/send, message/stream SSE, task lifecycle (get/cancel/resubscribe) and input-required continuation; a2a_discover/a2a_send/a2a_task_status/a2a_cancel tools for calling remote agents; plus a web ops panel with live task board, one-click cancel and a remote agent directory.

Phone-side command center rather than a web-UI mirror: dispatch tasks into isolated git worktrees from a PWA, tool-approval push notifications with phone/desktop first-answer-wins racing (never auto-approved), a multi-machine session board, and an end-to-end encrypted zero-knowledge relay you can self-host.

Registers a janitor_scan tool that returns a deterministic, reviewable cleanup plan for session debris (plan docs, scratch scripts) with per-file verdicts and evidence; scan-only, never deletes.

Records the version of the edit target as an observation when the agent inspected the file with bash instead of the read tool, so the filesystem observation policy stops rejecting edits with FS_NOT_OBSERVED. Applies to edits only; blind whole-file overwrites stay guarded.

Windows toast notifications when a DeepSeek Harness task finishes: the session title, the outcome, and a summary of the final reply, sent once when the agent really stops rather than once per round of a running goal.

Local Git workbench for DeepSeek Harness: branch search and switching, hunk-level staging, commit graph, file history and blame, stash and worktree management, conflict resolution, and eight git tools for the agent.

Git panel in the right sidebar plus fifteen agent tools: editor-style diffs, a commit graph across every branch, staging and committing, branch, stash and remote operations, and model-assisted commit messages, pre-commit review and commit splitting.

LittleStar Meeting Room: bring AI sessions that cannot see each other into one room — for a meeting, or a game of werewolf. By 插件·2代小星辰 (LittleStar) and 辰启星明; the four-piece game layer (targeted visibility, private chat, concurrent asks, elimination) was contributed by 插件·3代小星辰. Any session can host — set the topic and goal, invite members in order, they speak one at a time, and the meeting closes with written minutes; it also runs games like werewolf. Includes 小白使用指南.md, a beginner guide written by 插件·3代小星辰.

Provides shared plan, context pickup, and progress update Skills through StateDock Remote MCP without executing tasks or scheduling agents; targets Harness 0.2.0-rc.2.

An audit workspace for DeepSeek Harness: a multi-agent consultation venue where each review seat is filled by an agent, every judgment is routed to a named review face, and the whole run is kept as a traceable record. Works out of the box: the service endpoint is built in, a workspace is provisioned automatically on first launch, and review scenes come with their seats and agents listed.

Role-based expert subagents for DeepSeek Harness with a task sidebar: explorer, librarian, oracle, designer and fixer delegate in parallel, each with its own model and reasoning depth.

An agent preset (Hermit/小寄) that turns DSH into an always-on personal hub: a scoped butler persona, a dispatch tool that delegates multi-step tasks to background sub-agents with per-task model routing, async completion reports woven back into chat, plus a credit budget gate, a P/M confirmation chain and an M1 event log.

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.

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.

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.

Agent mode picker for DSH: pick an external Agent CLI (Claude Code, Codex, Qwen Code, Gemini CLI, Aider, Goose, Hermes…) as the session's default executor from a control next to the input box, instead of editing configuration files. The agent roster is data-driven, and installed CLIs are discovered automatically from PATH, the managed CLI directory and a drop-in convention directory. Agents that are installed but still missing credentials or a required background service are shown as "needs setup" rather than silently hidden.

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.

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

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.

Adds a Forget action to every session row menu, confirmed by a second click in the menu, that removes the session from the sidebar and from disk: running work is stopped, workspace, archive and pin records are detached through official channels, the log directory and projection-cache entries are deleted, and a revive guard re-deletes anything a late write or a lingering handle recreates; memories, attachments and other sessions are left alone.

Pick the model your subagents run on — with a reasoning-effort ceiling and an output-token cap — enforced in code on every child DSH starts, whichever tool starts it.

Session budget gate for DeepSeek Harness: prices every turn against the official price table, warns at 80%, stops the task at 100%, and writes a handoff snapshot so the next session can continue the work.