Plugins

3D Gaussian Splatting / NeRF / computer-graphics research skills — 18 AI skills (paper reader, method compare, experiment planner, code reviewer, training debugger, visualizer, MCP renderer…) over a curated 1011-method catalog, plus a stdio MCP server for agent-driven 3DGS rendering.

Installs Herta as a DeepSeek Harness agent: a preset carrying her persona and memory prompt sections, six memory and voice tools, a narrative layer that separates her thinking from what she says, 80 bundled voice clips, offline and MiniMax speech synthesis, and two conversation views that render the session with her own components.

Long-term memory & self-evolving plugin for DSH: L0 capture → L1 memory extraction → L2 scene grouping → L3 user persona, auto recall injection, skill synthesis, fully local (SQLite FTS5 + jieba, optional vector recall).

Installs Herta as a DeepSeek Harness agent: a preset carrying her persona and memory prompt sections, six memory and voice tools, a narrative layer that separates her thinking from what she says, 80 bundled voice clips, offline and MiniMax speech synthesis, and two conversation views that render the session with her own components.

Multi-engine web search for coding agents — one SearchBoost core (fused search, fetch, X) with MCP (Cursor, Codex, Claude Code, Grok Build, Antigravity), pi extension, and DeepSeek Harness bundle adapters

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.

Deep research as an agent mode: one reviewed loop that plans, researches in adaptive parallel rounds driven by the gaps the researchers themselves declare, synthesises a cited report and then reviews it adversarially, instead of a script the model rewrites per call. Questions the round budget never reached are named in the report rather than dropped.

论文与答辩全流程助手（DeepSeek Harness 插件）：材料摄取 → 逐题追问 → 文献检索 → 逐章写作与评审 → 原创性自查与合规 → Word/答辩幻灯生产，全流程留痕，并跨会话记住学校规范与导师要求。

Adds local PDF reading, a durable paper library, traceable evidence records, and cross-paper comparison and synthesis tools.

Deep-collaboration writing agent for DSH: per-user writing-style learning from edit pairs, clarify→outline→section-writing→red-team→reader-gallery flow, project-to-report synthesis (lab report / product intro / survey / README), 41 MCP tools, and web selection-improve UI with in-app file preview.

A draggable character companion for the DeepSeek Harness web profile with six visual and expression levels, four task modes, current-session chat, public reasoning summaries and browser speech synthesis.

Voice tools: free edge-tts neural speech synthesis, OpenAI-compatible ASR transcription, voice list, batch voice preview and health self-check.

Verifiable issue-to-PR delivery chain: an 11-stage pipeline (analysis, search, code understanding, hypothesis, planning, implementation, patch ledger, tests, review, failure classification, PR build) with 4 human review gates, GitHub/GitLab/CodeArts credential connections, a 5-page workbench and a draggable AI assistant panel.

Audible feedback for the DSH web interface: button presses are classified by semantics (normal, primary, toggle, send, close, danger, link) and the current session's task transitions (started, finished, failed) plus any pending interaction play a cue, each scenario with its own cue picker and switch on a settings page. All 78 cues and 12 sound packs are synthesised in the browser with the Web Audio API, so the package ships no audio files and makes no network request. A community port of dsh-plugin-uisfx to DSH 0.2.0, with the ported changes recorded in PROVENANCE.md.

A chemistry workbench panel in the DSH web UI. Draw structures on a Ketcher canvas (a script downloads the build; it renders locally in the browser with no backend), then compute on the current molecule with RDKit without calling a model — formula, molecular weight, exact mass, logP, TPSA, hydrogen-bond donors and acceptors, ring counts, Fsp3, stereocentres, Lipinski and Veber rule-by-rule checks, QED, PAINS/BRENK structural alerts and the Murcko scaffold, plus SMARTS substructure matching, fingerprint similarity, format conversion, standardisation and batch clean-up. A retrosynthesis tab talks to a pluggable backend (Retro* by default) over a single JSON-in/JSON-out process, and states what is missing when the backend is not installed instead of inventing a route. The calculations run in this repository's Python package (rdkit), which is installed with pip separately.

Registers the dsh-mol stdio MCP server, built on RDKit with no network access, into a DSH profile. It exposes 12 tools: three-level SMILES validation with human-readable diagnostics and character positions, molecular properties, drug-likeness and structural alerts, structure rendering to PNG/SVG, multi-molecule grids, format conversion (SMILES, InChI, InChIKey, MOL, SDF, formula), standardisation with a per-step change log, deduplication, SMARTS substructure matching, fingerprint similarity, and batch clean-up that reports every rejected row. The patch only registers the server; the tools live in this repository's Python package and must be installed first — the README gives a `pip install` route and a from-source route, and until the package is on PyPI the from-source one is what works.

Runs a thesis-antithesis-seal debate whose verdict is computed from real command exit codes and case counts, never from agent prose.

Voice or sound cue when a turn finishes and a failure cue when a tool call or turn errors; user aborts stay silent and subagent sessions are skipped by default. Three modes: voice (Volcengine TTS with cloned or preset voices, fingerprint reuse so unchanged text is not re-synthesised), effects (20 built-in sounds assignable to done, fail and approval, with per-row preview and no API key; the approval slot has no automatic trigger, so it plays only manually) and off. Plays through winmm without touching system volume. Windows only. Adapts DSH kernel 0.2.2-rc.1.

MiniMax voice studio for DeepSeek Harness: clone a voice from an audio sample, preview it from the audio returned by the clone request itself (no extra synthesis call, so the per-voice fee stays uncharged), synthesize text to local mp3 files, transcribe audio to text with asr-1.0, and manage the voice library, API key and these actions from a settings panel; four agent tools and a local HTTP API.

Doubao video workshop: a gated pipeline from storyboard to finished cut. Locked art direction, shot validation, character-card vs reference-image separation, first/last-frame continuity and clip dedup; model-aware duration caps (Mini/Fast 10s, 2.0 15s, 2.5 40s). Uses ffmpeg for frame extraction, concatenation and subtitles; speech synthesis calls a separately installed local TTS plugin, and ASR subtitles need Python with faster-whisper.

Text-to-speech service with Doubao TTS 2.0, Alibaba Bailian and OpenAI-compatible providers and a user-chosen voice; the agent speaks through tts_service_say, split into segments with an optional tone each, and other plugins can reuse ctx.ttsService.

Reads each reply aloud after rewriting it into spoken style: system TTS, Doubao speech synthesis, or an optional local Kokoro model.

Connects a local Synthesizer V Studio 2 Pro to the agent through its own Lua script API, with five tools for discovery, a persistent bridge, voice composition, note editing and DAW (VST3/ARA + MIDI) integration. Windows 10/11 only; requires Synthesizer V Studio 2 Pro 2.1.2+ with a project open.

Add MiniMax image understanding, image generation, speech synthesis, and transcription tools to DeepSeek Harness.