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开源项目 GitHub Topic ai-agent 2026-07-06T12:02 正文 ok 650 words

NocoBase：开源 AI + 无代码平台，让业务系统构建又快又稳

英文标题：📦 nocobase/nocobase

NocoBase 是一个开源 AI + 无代码平台，旨在快速构建业务系统。它不依赖从零生成代码，而是让 AI 在生产级基础设施和所见即所得界面上协作，兼顾开发速度和系统可靠性。平台支持与 Claude Code、Cursor 等主流 AI 编码代理协同开发，同时内置可嵌入业务流程的 AI 员工，并通过细粒度的权限控制确保安全性。这对开发者和企业意味着，既能利用 AI 加速搭建，又能在成熟的数据模型、权限与工作流引擎之上迭代，避免黑盒生成带来的失控风险。
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中文

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视频：NocoBase v2.2 英文演示

nocobase%2Fnocobase | Trendshift NocoBase - Scalability-first, open-source no-code platform | Product Hunt

NocoBase 是一个开源 AI + 无代码平台，用于快速构建业务系统。它不是从零开始生成所有内容，而是让 AI 在经生产验证的基础设施和所见即所得的无代码界面上协同工作，从而同时获得速度和可靠性。

主页：
https://www.nocobase.com/

在线演示：
https://demo.nocobase.com/new

文档：
https://docs.nocobase.com/

论坛：
https://forum.nocobase.com/c/english-forum/5

用户故事：
https://www.nocobase.com/en/blog/tags/customer-stories

# 安装 NocoBase CLI
npm install -g @nocobase/cli
nb --version

# 安装 NocoBase 应用
nb init --ui

# 可选：与 AI Agent 一起构建
codex # claude, opencode

详细步骤：

我们的发布说明定期在博客上更新，每周汇总重要变更。

1. 协作：AI 与人类共同构建

编码代理拥有完整的 CLI 和技能，而人类拥有所见即所得的无代码界面，因此两者可以高效协作。

使用您已经熟悉的 AI 编码代理进行构建

借助主流编码代理，数分钟内即可从部署到运行系统。

  • 支持 Claude Code、Cursor、Codex、OpenCode 和 TRAE 等主流代理
  • 代理可以端到端地处理安装、开发、迁移和发布

coding-agent

在所见即所得的无代码界面中手动构建

即使不使用 AI，人们也可以在所见即所得界面中可视化地构建和修改。

  • 一键切换使用模式和配置模式
  • 可视化地检查与配置数据模型、页面、工作流和权限
  • 为普通用户设计，而不仅仅是开发者

wysiwyg

按需混合 AI 开发与手动构建

根据需求分配工作：人类可以完善 AI 构建的内容，AI 也可以从人类的配置继续。

  • AI 可以快速创建数据模型、页面和工作流
  • 人类可以快速优化 UI 和交互
  • 按需协作并持续迭代

ai-no-coding

2. 智能：AI 帮助运行业务，而不仅仅是构建系统

NocoBase 包含 AI 员工，因此 AI 可以直接在系统内部工作。

集成到业务流程中的 AI 员工

AI 员工自动获取业务上下文，并直接在系统内执行任务。

  • 前端：帮助进行分析、问答、表单填写等
  • 后端：自动处理文档识别、风险监控和任务路由
  • 与工作流集成，AI 员工可以参与决策和执行

AI-employee

面向代理生态的开放接口

MCP、HTTP API、CLI 以及丰富的技能让外部代理可以安全连接。

  • 平台如 OpenClaw、Hermes、Dify、Coze 和 n8n 通过标准协议连接
  • 连接 Telegram、WhatsApp、Slack 和 Gmail，以查询数据、触发操作并执行业务工作流
  • 统一的接口模型让内部和外部代理保持在相同的边界内

agents

权限控制让 AI 行为处于掌控之下

每个 AI 操作都遵循与人类用户相同的细粒度权限。

  • 每个 AI 员工都有自己的角色，具有字段级的读写权限
  • 审计日志使每一次数据变更和工作流触发都可追溯
  • 管理员可以随时调整 AI 权限，以保持清晰的边界

permission

3. 可靠：面向真实业务的生产就绪基础设施

数据模型、权限和工作流复杂且容易出错。
NocoBase 将它们作为内置基础设施提供，经过测试并在生产中得到验证。

完整的基础设施，无需从零开始

数十个内置模块覆盖了最常见的业务需求。

  • 数据模型、权限、工作流和审计日志开箱即用
  • 经过生产验证，而非每次重新生成为黑盒代码
  • 内置护栏使 AI 输出与系统架构保持一致

core

以数据模型驱动，数据与 UI 解耦

业务数据保留在标准的关系结构中，与 UI 分开。

  • 使用主数据库、外部数据库和第三方 API 作为数据源
  • AI 和人类在相同的数据模型上工作，使结果保持透明
  • 您的数据始终留在自己的数据库中，没有平台锁定

model

插件架构，支持可持续增长

采用微内核设计，一切皆为插件，系统可以在不失控的情况下增长。

  • 通过可组合的插件添加新功能，并遵循共享约定
  • 混合使用自定义和官方插件以适配您的业务
  • 同一架构同时适用于 AI 构建和手动构建的插件

plugins

English / 原文

English | 简体中文 | 日本語 | Français | Español | Português | Bahasa Indonesia | Tiếng Việt | Deutsch

NocoBase-v2.2-EN.mp4

nocobase%2Fnocobase | Trendshift NocoBase - Scalability-first, open-source no-code platform | Product Hunt

NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.

Homepage:
https://www.nocobase.com/

Online demo:
https://demo.nocobase.com/new

Documentation:
https://docs.nocobase.com/

Forum:
https://forum.nocobase.com/c/english-forum/5

User stories:
https://www.nocobase.com/en/blog/tags/customer-stories

# Install NocoBase CLI
npm install -g @nocobase/cli
nb --version

# Install a NocoBase app
nb init --ui

# Optional: build together with an AI Agent
codex # claude, opencode

Detailed steps:

Our release notes are updated regularly on the blog, with weekly summaries of important changes.

1. Collaborative: AI and people build together

Coding agents get a full CLI and skills, while people get a WYSIWYG no-code interface, so both can collaborate efficiently.

Build with the AI coding agents you already know

Go from deployment to a working system in minutes with mainstream coding agents.

  • Works with mainstream agents like Claude Code, Cursor, Codex, OpenCode, and TRAE
  • Agents can handle setup, development, migration, and release end to end

coding-agent

Build manually in a WYSIWYG no-code interface

People can build and modify visually in a WYSIWYG interface, even without AI.

  • Switch between usage mode and configuration mode with one click
  • Review and configure data models, pages, workflows, and permissions visually
  • Designed for regular users, not just developers

wysiwyg

Mix AI development and manual building however you need

Split the work as needed: people can refine what AI builds, and AI can continue from human configuration.

  • AI can quickly create data models, pages, and workflows
  • People can quickly refine the UI and interactions
  • Collaborate as needed and keep iterating

ai-no-coding

2. Intelligent: AI helps run the business, not just build the system

NocoBase includes AI employees, so AI can work directly inside the system.

AI employees integrated into business workflows

AI employees get business context automatically and execute tasks directly inside the system.

  • Front-end: help with analysis, Q&A, form filling, and more
  • Back-end: handle document recognition, risk monitoring, and task routing automatically
  • Integrated with workflows, AI employees can join decisions and execution

AI-employee

Open interfaces for the agent ecosystem

MCP, HTTP APIs, CLI, and rich skills let external agents connect securely.

  • Platforms like OpenClaw, Hermes, Dify, Coze, and n8n connect through standard protocols
  • Connects with Telegram, WhatsApp, Slack, and Gmail to query data, trigger actions, and execute business workflows
  • One interface model keeps internal and external agents within the same boundaries

agents

Permission controls keep AI behavior under control

Every AI action follows the same fine-grained permissions as human users.

  • Each AI employee has its own role, with field-level read and write permissions
  • Audit logs make every data change and workflow trigger traceable
  • Admins can adjust AI permissions at any time to keep boundaries clear

permission

3. Reliable: ready infrastructure for real business

Data models, permissions, and workflows are complex and error-sensitive.
NocoBase provides them as built-in infrastructure, tested and proven in production.

Complete infrastructure, without starting from scratch

Dozens of built-in modules cover the most common business needs.

  • Data models, permissions, workflows, and audit logs work out of the box
  • Proven in production, instead of regenerated as black-box code each time
  • Built-in guardrails keep AI output aligned with the system architecture

core

Data-model driven, with data decoupled from UI

Business data stays in standard relational structures, separate from the UI.

  • Use the main database, external databases, and third-party APIs as data sources
  • AI and people work on the same data model, so results stay transparent
  • Your data always stays in your own database, without platform lock-in

model

Plugin architecture for sustainable growth

With a microkernel design, everything is a plugin and the system can grow without losing control.

  • New features are added through composable plugins with shared conventions
  • Mix custom and official plugins to fit your business
  • The same architecture applies to both AI-built and manually built plugins

plugins