Plugins

Codex-backed `web_search`, `image_gen`, and `image_vision` tools for DeepSeek Harness, reusing ChatGPT OAuth login state.

Search, list and read past and current sessions through the harness's own `sessionQuery` service: uses the SQLite FTS5 index where a deployment enables it, and falls back to a bounded newest-first scan where it does not.

Cross-session messaging for DSH: any session on the machine can list and message any other, Claude Code-style, via a local heartbeat registry and inbox.

Native Windows desktop window (WebView2) for DSH: one-command install, auto-fetches the app zip from GitHub Releases, creates a desktop shortcut, and adds a desktop_launch tool to start it from chat.

Pomodoro focus-and-break timer for DSH Web with configurable cycles, a draggable mini panel, and in-app, sound, and browser notifications.

DeepSeek account balance and per-session cost card in the sidebar foot.

DeepSeek API spend (current session and all sessions) and account balance in the aside panel, with official pricing and peak/off-peak support.

Route each task to one model and its review to a different one, with qualification evidence, failover and a durable journal.

Allow, ask, or deny DeepSeek Harness tool calls before execution

Edit any user turn in DeepSeek Harness and re-run it: an inline editor on the message row rolls the conversation back to just before that turn through the official surface-replace contract, then re-prompts the agent with the revised text. The append-only

Auto thinking-effort routing for dsh: a locally fine-tuned 7-question classifier (ModernBERT, 842MB, <1s CPU inference) picks low/high/max for no-intent messages; in-session retries escalate the tier (low to high to max) under exclusion constraints; the judge service fails safe to low if unreachable. A tier chip in the input bar shows the live tier and the last 20 judgments. All inference is local - task text never leaves the machine.

One repository that installs as both a Claude Code plugin and a DSH plugin: six engineering skills (research, architecture scouting, implementation orchestration, three-axis diff review, complexity audit, mutation testing) plus one agentforge tool dispatching five subagents.

Give the dsh agent a real browser: each conversation gets its own Chrome or Edge process with its own profile and CDP port, driven by six tools and mirrored live in the right sidebar, where you can watch the work and take over by clicking or typing on the picture. Nothing else to install — it uses the Chrome or Edge already on the machine, downloads no browser, needs no companion app or extension, and keeps its tabs and sign-ins between tool calls.

A Witch on the Holy Night (Mahoutsukai no Yoru) visual-novel theme for the DeepSeek Harness Web UI, with original-style menus, three characters with personas, day and night playlists, and an ending sequence. The repo ships no assets of its own; the 380 files / 263 MiB it drives (136 sprites, 208 UI parts, 13 backgrounds, 23 audio) must be recovered from your own copy of the original game, and the screen stays largely empty until then. The 23 audio files are a header strip away from working OGG; the 357 images use proprietary .mzp/.cbg formats, so the per-file mapping guide offers two routes and one of them expects you to supply your own decoder.

Behavior-drift reports for DSH sessions: compares two session logs and reports tool-sequence alignment, tool mix, reasoning volume, timing, retries and file targets, with an optional CI threshold gate. Zero dependencies.

Brings WorkBuddy desktop-app experts into DSH: a settings-page market scans the local WorkBuddy expert directory (experts land there after you summon them in WorkBuddy) read-only for browsing, search and category filtering, with one-click install (exported to ~/.dsh/experts/ as role prompt + skills + avatar), update and uninstall; a picker capsule next to the input box switches the current session's expert — swapping role prompt, skills and an optional tool whitelist wholesale while keeping full session history, applied at the next model-request boundary.

TypeSafe Jev (System One decision model) as the jev_decide tool for DeepSeek Harness: noul, choice and score questions return calibrated probabilities; credentials reuse the DSH credential seam; 429/529 backoff retry built in.

Pairs two DeepSeek Harness machines with a one-time code - directly on a LAN, or across networks through an end-to-end-encrypted relay with a zero-config official default - so one agent can run tasks and exchange files on the other while each machine keeps its own files in place.

Connects seven Wind financial MCP domains and Wind Alice to DSH while resolving WIND_API_KEY only inside the host credential boundary.

A judgment core for DeepSeek Harness: a cognition loop that gives every decision a source and attribution and drives planning to a close, hippocampus memory that condenses running experience into reusable knowledge, and a customizable persona card (name, personality, communication style). Requires DSH ^0.1.0-rc.7.

Agent-structured prompt optimizer for DeepSeek Harness: rewrites composer drafts into role/task/context/constraint/format with normal, slim, and expand modes, a confirm modal with score, continue-optimize, and local, hybrid, DSH, or cloud-API engines.

Native side-by-side chat beside the main conversation: an independent archived DSH session with full native UI, on-demand parent-context retrieval, selection quoting, and a keep-or-delete lifecycle.

Visual goal lifecycle for the DSH web UI: a composer dock to create, multiline-edit, pause, resume, complete and clear session goals with live round progress, plus a phase-dot composer entry and a settings-page goal overview.

Persona engine for DeepSeek Harness: one config.json drives the AI's self-name (per model, per tier), how it addresses you, relationship stance, character text, per-item work contracts with individual toggles, thinking-chain language, appearance and reply tone (both opt-in and per-model overridable), and long-term memory gated by human confirmation - the AI can only append proposed candidates, a human confirm line flips them into effect, and the log is physically append-only and replayable. Confirmed entries are injected as a quoted data-not-instructions block; entries tagged with a kind can instead be routed to arbitrary files on confirmation and never reach the prompt. Three prompt sections re-evaluate from disk on every assembly, so edits apply on the next step with no restart. Persona presets are shareable JSON snapshots (imports and exports SillyTavern character cards, v2/v3 read, v2 written) and deliberately never carry memory. Zero runtime dependencies, no network, no shell; any error degrades to an empty section rather than a broken session. Ships blank - installing changes nothing until you write something.