v1.1.0 · GPL-3.0
AI 小说创作软件:把灵感、角色、世界观、大纲、章节写作、审稿和修稿组织成可控流程;提供 Windows/macOS 桌面版,支持本地和在线模型。AI Novel Writing Software: Organizes inspirations, characters, worldbuilding, outlines, chapter drafting, review, and revision into a controllable workflow. Features desktop apps for Windows/macOS, Ollama integration, and a DeepSeek Harness (DSH) plugin preview.
v0.2.14 · Apache-2.0
Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.
v0.11.1 · MIT
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
— · MIT
Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without mod
— · MIT
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head,
— · MIT
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated fro
— · MIT
Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to st
v1.0.2 · no license
Provision private AI model endpoints on dedicated GPUs (Llama, Qwen, Mistral). Pay per minute.