An open-source no-code platform that lets AI agents and humans collaborate to build custom business applications.
Combine WYSIWYG visual editing with AI coding agents to create tailored workflows and internal systems.
NocoBase is an extensible no-code application engine equipped with AI coding agent skills and embedded AI workers. It targets technical leads, product managers, and operations teams who want to create custom internal tools or project management portals without writing boilerplate code.
NocoBase combines visual page and workflow creation with AI coding support through tools like Claude Code and Cursor. You can design relational data schemas visually, establish role-based access controls, and deploy automated AI employees directly inside backend decision workflows.
It suits teams that want to build bespoke management systems or admin dashboards tailored to specific Agile or project workflows. It does not suit non-technical users who lack the resources to host Node.js applications and manage relational databases.
Humans build and tweak UI visually while AI agents execute CLI commands to handle code setup, migrations, and plugin extensions.
Deploy AI workers inside automated system workflows to handle document reading, task routing, and data processing.
Apply field-level read and write access controls and complete audit logs across human roles and AI employee tasks.
Store data in standard relational databases or third-party APIs while keeping backend data schemas separate from visual pages.
NocoBase is free to host and run under its open-source repository terms. The only ongoing expenses are your server infrastructure, relational database host, and any third-party AI model API usage.
880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
Yes, NocoBase offers MCP, HTTP APIs, CLI tools, and agent integrations to link platforms like Dify, n8n, Slack, and WhatsApp.
Data stays in your standard relational databases or connected third-party sources, separate from the UI layer.
See Zekai first in Google