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nocobase nocobase
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.
Stars
24,015
Forks
2,856
Watchers: 24,015
Language
License: Other
Repository Radar Score
63 / 100
Growth
- 7d
- +0
- 30d
- +0
- %
- 0.0%
Not enough metric snapshots yet to chart growth for this repository.
Score breakdown
- popularity 80
- growth 0
- activity 100
- freshness 100
- community 90
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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, opencodeDetailed steps:
Our release notes are updated regularly on the blog, with weekly summaries of important changes.
Coding agents get a full CLI and skills, while people get a WYSIWYG no-code interface, so both can collaborate efficiently.
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
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
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
NocoBase includes AI employees, so AI can work directly inside the system.
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
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
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
Data models, permissions, and workflows are complex and error-sensitive.
NocoBase provides them as built-in infrastructure, tested and proven in production.
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
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
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
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- High absolute popularity (24,015 stars) signals broad adoption.
- Maintained recently (last push 2 weeks ago).
Who should use it
- Developers working primarily with TypeScript
- Teams exploring AI tooling, agents, or ML infrastructure
Potential use cases
- Reference or evaluate TypeScript open-source approaches in this domain
- Prototype AI/agent workflows or study reference architectures
Strengths
- Recent repository activity
- README present in our index
- Declared license: Other
- Substantial fork count (2,856) suggests reuse and contribution interest
Limitations / considerations
- Insights are derived from public metadata and our observations — not a substitute for code review
What to watch
- Re-check last push, issues, and releases on GitHub before production adoption
Strong signals: Strong community interest · Active maintenance
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.
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