dongbeixiaohuo/writing-agent
🚀 Writing Agent:开源多智能体对话写作助手。独立 Windows 客户端,无需 Claude Code,配置模型 API 即可使用。写作导演协同主笔、读者审校及“去 AI 味”等专家,从选题到成稿逐步共创,通过自然对话确认与修改。工程化 Harness 管理阶段确认、版本保存与中断恢复。内置 99 项模型连接预设,支持 DeepSeek、智谱 GLM、MiniMax 等及自定义接口;可选 Parallel 免费搜索与 Tavily 辅助事实核查,支持本地项目、版本追溯和排版导出。目前为公开 RC 测试版,原版 Claude Code Skills + Subagents 仍保留,部分能力尚在迁移,欢迎体验反馈。
What it solves
Writing Agent transforms the process of creating content from a single-prompt "one-shot" generation into a collaborative, iterative co-creation process. It prevents the common issues of AI-generated text feeling mechanical ("AI flavor"), lacking factual accuracy, or ignoring the author's specific voice and intent by introducing structured discussion, multi-stage review, and human-in-the-loop confirmation.
How it works
The system uses a multi-agent orchestration approach where different specialized roles collaborate to produce a high-quality piece of writing. A "Writing Director" manages the overall process, while other experts handle specific tasks:
- Planning: Research and topic planning experts organize materials and structure.
- Writing: A lead writer creates the first draft based on confirmed outlines.
- ** uma Review**: Editors and "Reader Simulators" check for structure, value, and potential drop-off points.
- Refinement: A dedicated "De-AI" expert removes mechanical phrasing to preserve the author's voice.
- Verification: A fact-checking expert uses optional external search tools (like Tavily or Parallel) to verify claims.
Users can interact via a Windows desktop app (which manages state, versioning, and recovery) or as a Claude Code Skill. The process is conversational; the agent discusses the theme and materials with the user before writing, and requires user confirmation at each major stage.
Who it’s for
It is designed for content creators, such as those writing for public accounts (WeChat Official Accounts), opinion pieces, personal essays, and experience sharing, who have raw materials or ideas and want to refine them into professional, human-sounding articles.
Highlights
- Multi-Expert Workflow: Moves beyond a single prompt to a pipeline of director, writer, editor, and humanizer.
- Human-in-the-Loop: Requires natural language confirmation at each stage, allowing users to steer the direction and supplement materials.
- Fact-Checking Integration: Optional integration with Tavily and Parallel for real-time web search and evidence verification.
- Broad Model Support: Built-in presets for 99 model configurations across various providers (DeepSeek, OpenAI, Anthropic, Gemini, etc.).
- Version Management: Local storage of drafts and versions, allowing users to compare changes and export to TXT or HTML.
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