Plugins

Font plugin for the DeepSeek Harness Web GUI: the conversation gets its own font, size, line height and weight, the interface has a font and a weight of its own and follows the conversation by default, code keeps its own axis with ligature control, and whole setups save as presets.

Turns the 13 δ-me13 (Amphoreus) role skill cards into seat workspaces: per-seat theme and wallpaper, first-turn skill injection, chat stickers, per-seat memory notes and presets, Alt+digit seat switching, and an overview canvas for dispatch and handoff; the skill suite itself is read from a configurable local directory and is not bundled.

A web Settings "Loop engine" switch that swaps the agent loop driving every dsh session among five engines — the built-in in-process loop plus hosted Claude Code, Codex, Pi, and Kimi Code — with zero changes to the harness; each hosted engine keeps its thinking and tool calls in the durable session transcript, takes over commands, skills, and the agent preset, and runs sandboxed through the dsh subprocess seam.

Native tavern management panel for DeepSeek Harness: multiple character cards, multiple worldbooks, switchable presets.

Engineering workflow agent preset for dsh: five gated phases (requirements clarification, plan approval, TDD, parallel subagents, verified finishing) with six workflow skills adapted from obra/superpowers.

Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).

Theme studio for the DSH Web GUI: five built-in presets plus fully customizable light/dark palettes (accent, background, foreground, UI and code fonts, translucent sidebar, contrast), hot-swapped instantly and persisted in localStorage.

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.

J-Space Cognition Suite SV1 native agent preset and standalone Cordis plugin: 13 modules, persistent controller and decoupled workspace.

Custom modes / assistant manager: give each mode its own system prompt in the settings page — a custom prompt that is a plain file the agent loop re-reads before every model step, so an edit applies to the running session on its next step — and start it from the official standard / PTC / minimal / Cordis composition, toggling the plugin rows it mounts one by one (a custom plugin composition per mode), renaming it as you like. Several assistants coexist with their own prompts, so one machine can keep a coding assistant, a chat companion and a roleplay (RP) persona side by side — a multi-agent setup you pick from per new session. Rows left untouched stay byte-identical to the shipped ones, platform conditions included.

dsh plugin + agent preset that replicates opencode + oh-my-openagent (omo): opencode's toolchain and system prompt, omo's multi-role subagent orchestration, and browser-side omo role selection + per-role model/fallback settings.

Adds a reasoning-level editor with OpenAI and Anthropic protocol presets (llm-pi-ai), input-modality switches and a 1M/128K context and max-output preset to model rows in Settings.

DeepSeek Harness theme plugin — supports Dark / Light / System appearance switching, ships 34 preset themes, and supports creating, sharing, and importing custom themes.

Agent discipline guard for DeepSeek Harness: four gates enforced at the harness boundary — loop circuit-breaker, token-cost fuse, route-switch warning, plan approval — where prompt-level reminders can't reach, so an agent can no longer burn a weekly quota in minutes; one-click 🛡 chip, hot-reloadable thresholds, and presets from invisible-but-armored to warn-only.

Agent preset that turns multi-stage objectives into resumable flows: refereed stages, SHA-256 lock identity, an HMAC-signed terminal review gate and event-sourced run logs; ships 15 agent tools.

Real-time local TTS for DeepSeek Harness: voice presets, auto-read, engine setup assistant, a read-aloud button, and a settings panel for the GSV-TTS-Lite engine.

Technical documentation agent preset for DeepSeek Harness: template-driven writing with a self-learning template library, AI-flavor removal for tech docs, and a quality-assurance toolkit (document audit, cross-document consistency, numbering resequencing, version sync, PDF and Word export, screenshot automation).

Image understanding for any DSH model: vision, OCR, grounding, and crop tools with domain presets for histopathology, cell biology, anatomy, clinical images and scientific figures.

Visual theme customizer for the DeepSeek Harness web UI — backgrounds, text colors, borders and details, all adjustable visually, with presets you can import and export, persisted across restarts.

Preset-mode badge embedded in the "New Session" button: click to pick the default agent preset for the next session (long names truncate with ellipsis so the label stays readable).

LLM auto-approval for sandbox escalation requests, with presets and a fail-closed fallback.

Enhanced auto-compaction defaults for DeepSeek Harness agent presets: apply tuned threshold/retention budgets and per-model policies with one command, idempotent with backups and rollback.

Incognito sessions: a standalone ephemeral sub-agent with its own preset (no parent context) and full toolset, draggable floating window, burned to zero traces on close.

Per-host personalization for DSH: custom instructions, local long-term memory, and reply-tone presets.