Plugins

Google Jules as a DeepSeek Harness capability — delegate coding tasks to the remote agent, watch them in the background, approve plans, and land the diff.

Remote access for the DeepSeek Harness Web GUI via Tailscale or cloudflared — early-stage, read the notice first.

Extra LLM provider routes for DeepSeek Harness: OpenCode Go with per-session x-opencode-session routing, and OpenAI Codex over ChatGPT-subscription OAuth.

Whale-girl desk pet in the corner of the DSH Web GUI. It sings along to a bundled track while the agent works; when a tool call fails a steel pipe falls on its head. Click it to bonk the basin it wears, which costs 12 rice — knock enough and it gets hungry and wanders off to beg, and rice appears somewhere on the page for it to dash across and eat. Draggable within the viewport, wriggles and complains if grabbed mid-dash, volume and behaviour configurable from Settings. All artwork, sound effects and the song ship inside the package.

Version-control workbench for the DSH Web sidebar: local changes grouped by type, per-file and multi-file staging, preview-confirmed commit / update / push, and a failure dialog that shows the raw Git output instead of a four-second toast.

Compact Git status line for DSH Web: the current branch, staged and unstaged line changes, ahead/behind commit counts against upstream, and a clean-worktree marker — placeable in the sidebar footer, the session header, or above/below the composer, with the position switched on the settings page.

Persistent personal todos shared across DeepSeek Harness sessions and projects: SQLite storage, Agent tools, a native sidebar and turn-tail cards, with user-managed workflows or optional dispatch of individual todos to Agent sessions.

Speaks your agent's reports in a voice you choose, compressing long reports before speaking. Character voices need no training - a 3-10 second reference clip clones one, and community-trained models work too - and no 6.4 GB GPT-SoVITS install: the plugin installs its own runtime and voice. An existing GPT-SoVITS can be used instead, and it is the same voice model.

Registers a keyless search provider for the built-in web_search tool so it works without an API key, failing over between the documented no-key tiers of Tavily and Firecrawl; a TAVILY_API_KEY or FIRECRAWL_API_KEY is picked up automatically when present. Two Bing scrape backends are included but off by default.

Windows-native computer use for DeepSeek Harness: two tools drive and read any desktop app. One batch call runs find, click, type, key, read, wait and screenshot steps in a single engine pass, so a task whose steps are known up front costs one model round trip; reading returns window text rather than an image, and input and capture prefer UI Automation patterns, Win32 messages and offscreen PrintWindow so the user's focus and pointer stay untouched.

Session cleanup for the DSH sidebar: drag a conversation row onto the balance widget's whale and it eats the row — the session directory goes to a recycle bin, not to rm. Deletion asks one short question first (how many tokens it burned, and that prompt can be turned off in Settings). Undo from the persistent toast or the 12-entry log in Settings. Clicking the whale jumps straight to the plugin's Settings, where you can swap the avatar, drag the mouth into place and rewrite all 17 UI strings; blank, currently-open and running sessions are refused in place with a reason.

One-line clock context for DeepSeek Harness: a Current time timestamp reading (weekday, date, time, UTC offset, IANA timezone) opens every conversation turn and a Turn ended reading closes it, so the model always knows the time, date and idle gap across turns without asking.

Edit global and project instruction files in DeepSeek Harness settings, with project-chain discovery, byte-budget display, and save-conflict handling.

Pre-execution safety valve for DSH that judges with TypeSafe Jev: it hooks tools/pre-execute and decides every bash/pwsh call by first applying offline static rules, then by asking the Jev model — the System One model from TypeSafe, which returns a structured decision instead of prose — one yes-no question ("will this command irreversibly delete or overwrite real data?"), turning the answer into allow, revise, block or escalate; revise hands the model a safer rewrite, escalate offers a one-shot human token; exhausted credit or a missing API key degrades loudly instead of failing silent, and a missing key is requested in the conversation itself (`guard key set`, read from stdin); every verdict is appended to a shared audit log and the text people read is bilingual zh-CN/en.

dsh-shuorenhua

Telegram channel for DeepSeek Harness — real Telegram markdown, and answer the agent's questions and approvals straight from chat

Manual model probe for DeepSeek Harness: a session-view tab where you pick provider, API type, model and route, then send one real raw HTTP request over openai-completions, openai-responses or anthropic-messages — streaming or not — and read latency, TTFT, HTTP status, token usage and a three-layer diagnosis chain (API request / model response / strict check) on one screen, with errors in plain language.

Humanized fork of @xmanrui/dsh-im (base 4.21.2): humanized message delivery with send-delay and typing two-phase, message_break + streaming coexistence, status reactions, reply quotes, per-bot humanize overrides, and a no_reply reclaim tool — across WeChat, Feishu, DingTalk, WeCom, QQ, Telegram, Slack and WhatsApp channels.

Figma design context for the agent: reads a frame's node tree, auto-layout, paints and typography, resolves the variables it is bound to, and renders a screenshot to compare code against — plus four bundled design-to-code skills. Connect with one button against Figma's own consent page; the plugin ships its own OAuth app, refreshes tokens automatically, and never asks for or displays a token.

Appends actionable hints to failed tool results, such as the nearest existing directory when a path does not exist.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.

Session health check for DSH, read-only: scans the whole session library (totals, largest sessions, warnings for oversized sessions and event-count blowups) and deep-inspects a single session log (tail-balance / crash-tail check, tool-call/result pairing, event-type distribution).

Cross-version session migration for DSH: sweeps legacy session stores (v0 plaintext, .zstd and .zip exports), re-pins the header cwd to the target workspace and drops sessions in so the persistence layer upgrades them on open; settings sidebar with env/import/list/convert tabs plus a CLI (check / fix / import).

Registers the Xunfei Loomy cloud channel as an OpenAI-compatible supplier in dsh-router, adding model listing and streaming chat completions.