NocoBase 2.0

Product Introduction

1. NocoBase 2.0 is an AI-powered no-code development platform designed to enable teams to build and customize enterprise systems rapidly without extensive coding. It combines no-code flexibility with AI collaboration, allowing users to define data models, automate workflows, and integrate AI employees into business processes. The platform supports multi-app and multi-space configurations while maintaining full control over data and system architecture.
2. The core value of NocoBase 2.0 lies in its ability to reduce development cycles and operational costs by 80% through reusable plugins, AI-assisted automation, and a model-driven architecture. It eliminates dependency on third-party hosting by offering self-deployment options and provides granular permission controls for enterprise-grade security.

Main Features

1. AI Employee Integration: Users can deploy built-in or custom AI agents for tasks like data analysis, translation, and workflow automation, embedded directly into interfaces and business logic. These AI employees operate within predefined security protocols and integrate with existing data sources, including external databases and APIs.
2. Data Model-Driven Architecture: NocoBase decouples UI components from underlying data structures, enabling unlimited customization of blocks (tables, forms, charts) and actions (data processing, imports/exports) for the same dataset. It supports relational databases, external APIs, and legacy systems through a unified schema interface.
3. Plugin-Based Extensibility: All functionalities are modular plugins built on a microkernel architecture, allowing developers to create reusable extensions or modify core features via TypeScript/React. The marketplace offers pre-built plugins for CRM, project management, and AI workflows, with full backward compatibility.

Problems Solved

1. Rapidly Changing Business Requirements: Addresses the challenge of adapting systems to frequent process changes by enabling no-code configuration of data models, workflows, and permissions without redeployment. Reduces typical modification cycles from weeks to hours.
2. AI Integration Barriers: Solves the disconnect between standalone AI tools and operational systems by embedding AI capabilities directly into data contexts and user interfaces, ensuring compliance with existing security and workflow standards.
3. Legacy System Modernization: Provides a phased migration path for outdated systems through hybrid data source support (main database + external APIs) and gradual replacement of components via plugins, minimizing business disruption.

Unique Advantages

1. Open-Source Core with Commercial Flexibility: Unlike closed SaaS platforms, NocoBase offers full access to its MIT-licensed core codebase while providing optional commercial plugins under a one-time payment model. This eliminates vendor lock-in and recurring subscription costs.
2. Workflow-Centric AI Implementation: Unlike generic AI tools, NocoBase integrates AI at the workflow level with predefined roles (e.g., analyst, auditor) and action triggers, ensuring auditable outputs tied to specific business records and processes.
3. Enterprise-Grade Scalability: Supports low-spec server deployments for small teams while maintaining capability for distributed architectures, handling over 10 million records per table with optimized indexing and caching strategies.

Frequently Asked Questions (FAQ)

1. How does NocoBase ensure data security with AI integration? All AI operations occur within isolated sandboxes with configurable access controls, and audit logs track every AI-generated modification. Data remains stored in user-controlled databases without third-party AI model training.
2. Can existing SQL databases integrate with NocoBase? Yes, the platform supports MySQL, PostgreSQL, and SQL Server as primary databases while offering REST API connectors for MongoDB, Oracle, and legacy systems through its Data Source Manager.
3. What distinguishes NocoBase from alternatives like Airtable or Retool? NocoBase provides full UI/data decoupling for complex system building, on-premises deployment options, and workflow automation with AI—features typically requiring separate tools in other platforms.
4. Is coding expertise required for plugin development? While basic plugins can be configured via GUI, advanced extensions require TypeScript/React knowledge. The SDK provides pre-built templates and automated testing tools to accelerate development.
5. How does the licensing model work? Core features are permanently free under MIT license, while commercial plugins (AI employees, advanced workflows) follow a one-time purchase model with perpetual updates for major versions.