{"slug":"tech4idea-viforge","name":"Viforge","description":"ViForge is a local-first AI collaboration workbench for creative and knowledge work. It helps people turn ideas, judgment, and personal methodology into reusable agents, skills, knowledge bases, and evaluable workflows.","long_description":"# ViForge\n\n中文 | [English](./README.en.md)\n\nViForge 是一个本地优先的 AI 协作工作台，面向创意生产、知识工作和可持续迭代的 Agent 工作流。它把项目文件、创作助手、可复用技能、知识库、模型配置、运行日志和评测流程放在同一个可控工作区中，让用户把自己的判断、方法论和审美沉淀为可复用的 AI 协作能力。\n\n当前实现重点服务小说改编、情景剧创作和学习研究等工作流，同时保留产品 profile 机制，便于后续扩展到更多垂直场景。\n\n## 核心特性\n\n- 本地优先工作区：项目文件、Agent 配置、记忆、日志和评测产物默认保存在用户本机。\n- 三栏创作工作台：文件树、编辑/预览标签页和创作助手协同工作。\n- 多产品 profile：内置小说改编、情景剧创作和学习研究模板，可按项目选择不同系统提示词、目录结构和专业技能。\n- LangGraph Agent 运行时：支持流式会话、工具调用、长期记忆和 PostgreSQL/pgvector 持久化。\n- 可复用 Agent Skills：通过工作区内的 `SKILL.md` 管理可迭代的专业能力。\n- Agent Harness：支持对 Agent提示词、工具描述，行文规则等变更进行复现、比较、评审、发布和回滚。\n- 桌面单机版：当前支持 Windows 安装包，下载安装后即可使用。\n- 微信接入与浏览器协作：支持微信入口和经过用户授权的浏览器自动化操作。\n\n## 产品架构\n\n<p align=\"center\">\n  <img src=\"./docs/architecture/level_architecture.png\" alt=\"ViForge 产品架构图\" width=\"900\">\n</p>\n\n## 产品截图\n\n<p align=\"center\">\n  <img src=\"./docs/screenshots/main_page.png\" alt=\"工作台主页\" width=\"900\">\n  <br>\n  <strong>工作台主页</strong>\n</p>\n\n<p align=\"center\">\n  <img src=\"./docs/screenshots/harness_main_page.png\" alt=\"Harness 主页\" width=\"900\">\n  <br>\n  <strong>Harness 主页</strong>\n</p>\n\n<p align=\"center\">\n  <img src=\"./docs/screenshots/connectors.png\" alt=\"连接器\" width=\"900\">\n  <br>\n  <strong>连接器</strong>\n</p>\n\n## 安装与使用\n\n### 桌面版\n\n桌面版面向普通用户，当前支持 Windows 安装。下载安装包并完成安装后，打开 ViForge 即可进入工作台使用。\n\n### Docker Compose 部署\n\n仓库提供 Docker Compose 部署方式，适合需要服务化运行的场景。\n\n```bash\ndocker compose up -d --build\n```\n\n更完整的部署说明见 [当前实现总览](./docs/current/README.md)。\n\n### 本地开发运行\n\n安装依赖：\n\n```bash\npnpm install\n```\n\n启动本地开发服务：\n\n```bash\npnpm dev\n```\n\n更多开发、测试和构建命令见 [测试与开发命令](./docs/current/09-tests-and-dev-commands.md)。\n\n## 模型配置\n\nViForge 不内置托管模型服务。请在应用内的系统配置入口中设置兼容 OpenAI 协议的模型服务，包括 Base URL、API Key、文本模型、图片模型和 embedding 模型等。\n\n系统配置会把 API Key 存在本地。API 只返回密钥是否已配置，不会把明文密钥回传给前端。\n\n## 文档入口\n\n- [当前实现总览](./docs/current/README.md)\n- [测试与开发命令](./docs/current/09-tests-and-dev-commands.md)\n\n## 许可与声明\n\n本仓库采用 MIT License，见 [LICENSE](./LICENSE)。\n\n","tagline":"ViForge is a local-first AI collaboration workbench for creative and knowledge work. 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