Plugins

Publishes whichever model the profile has selected in chat or on the Models page as an OpenAI-compatible HTTP endpoint: /v1/models, /v1/chat/completions (streaming SSE and non-streaming), /health. A request may name any routable model; one that omits `model` gets the current chat selection, so switching model in chat switches the endpoint. Switched on, it can also lend the model the Harness tools switched on individually, run those calls through the Harness tool runtime and feed results back up to a round limit. The listener is the plugin's own, so 127.0.0.1, 0.0.0.0 and a NAT-forwarded port all behave the same with no change to the request path. Settings cover bind address, port, API key with a generator, fallback provider and model, reasoning effort, CORS origin and timeout.

DeepSeek Harness native SSH terminal and SFTP workspace with direct agent tools and security sandboxing.

LAN-only remote access for DSH: pair a phone or another PC by QR code or token to open the same web UI, with optional key-free access inside the LAN.

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.

Conflict diagnosis and repair for DeepSeek Harness plugins. Builds a capability graph of the running Loader profile and of the on-disk cordis.patch.yml layers, comparing imports, peer ranges and config against the host that is ACTUALLY running rather than the profile's possibly-stale copies, and reports the conflicts that fail silently: a fiber stuck PENDING on a service no plugin provides, a browser half injecting a client module nothing provides, a tool id two plugins both register, duplicate Loader entry ids, a row disabled by one layer and re-inserted by another, an import of a host subpath the running host does not export, and a cycle among inject declarations. Every finding carries its evidence, a confidence grade for who owns a name, and a repair with a risk grade — verify it with a dry-run difference table, or take the individual .patch.yml files that --fix-out writes (never auto-loaded, so picking wrong breaks nothing).

Category-based backup of DeepSeek Harness settings, skills, plugins, sessions and storages into verifiable, restorable and downloadable archives, with optional GitHub sync.

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.

Scheduled update checks for DeepSeek Harness itself and installed plugins, applied only in idle windows — four schedule modes (daily, every N hours/days/minutes), bidirectional plugin whitelist, disk-verified installs, and a web settings panel with hot-reload config.

All-in-One MCP and skill manager with feature-based recognition and native OAuth 2.1 authentication.

Runs the local Cursor CLI as a child coding agent from DSH - a `cursor_code` tool plus the native one-shot `cursor_subagent` tool, one mirrored DSH sub-session per run, per-task model choice, resumable conversations, a step timeline with real file diffs, and a usage, model and session panel.

Enforces a check-fix-recheck loop when a task is wrapping up: it auto-runs your tests/lint/audit, blocks any round that still has unfixed problems, and only calls the task done after three consecutive clean full checks, then notifies the user.

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.

Linux desktop notifications and a chime for DeepSeek Harness, sent by the host process so they still arrive with the browser page closed: turn completion, pending questions, tool approvals and turn errors, delivered through notify-send and paplay with a canberra-gtk-play fallback. A browser half adds an in-page toast, a Web Notification and a synthesized Web Audio chime as fallback; every switch lives in a Settings page or a JSON file.

Shows a focus-free notice card in the corner when a turn ends or DSH is waiting on an approval or a question.

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.

VSCode-style Source Control page in the DSH Web right sidebar: a paged commit lane graph with ref markers and per-commit diffs, grouped working-tree changes with stage/discard/unstage, a commit box with amend and AI-generated messages, a side-by-side and unified diff page, GitHub repository and pull request creation through the gh CLI, and bidirectional HTTPS/SSH remote switching.

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.

Adds an Assist button beside the composer send key. It scans the skills and MCP tools available in the session, ranks them against the text currently in the input box, and lets you inject the selected ones into the running conversation as a steering message.