Top 11 Open Source No-Code AI Tools with the Most GitHub Stars

Originally published at https://www.nocobase.com/en/blog/top-11-github-open-source-no-code-ai-tools

Introduction

Over the past year, AI and no-code have come together much faster than anyone expected. It’s no longer just about adding an AI feature — it’s changing the way we build applications.

No-code is also going through a clear shift: instead of simply designing interfaces, creating data models, and setting up workflows, we’re moving toward a new stage where AI helps model data, generate logic, and work alongside us to build entire systems. And this shift is already happening in real products — not just as a concept.

💡 Further reading: No-Code or Vibe Coding? 9 Tools to Consider - NocoBase

In this article, we reviewed no-code projects on GitHub and selected open-source tools that have integrated AI or offer intelligent features. We organized them into this “AI + No-code Tool List” by their GitHub star count.

This follows our list from last year, The Most Starred Open-source No-code Tools on GitHub. But this time, it’s not just about who has more stars — it’s about who is actually making AI useful and reusable in real scenarios.

If you’re exploring AI tools, workflow automation, Agent building, or planning to create an intelligent application, this list is a great place to start.

No.11: NocoBase

Official website: https://www.nocobase.com

⭐ Stars: 17k

Overview

NocoBase is an open-source, self-hosted no-code development platform built around data modeling. With its “AI Employee” feature, it brings AI into real business systems.

Key AI Features

• AI Employee – Users can configure AI assistants to take part in workflows like approvals, data processing, and content creation.
• Natural Language Modeling – Simply describe your business needs in plain language, and the AI will generate data structures and fields automatically.
• Pluggable AI Extensions – Future support for integrating different AI models and services via a plugin marketplace to increase flexibility.

Best Use Cases

• Internal enterprise systems – CRM, approval processes, asset management, ticket workflows — where stable permissions and consistent data are essential.
• Security- and compliance-focused teams – Fully self-hostable, suitable for finance, healthcare, and government environments.
• Teams with technical skills – Want to add AI features on top of no-code without losing extensibility.

How AI Fits In

In NocoBase, AI is deeply embedded in both the development and usage of the system.

During the building phase, users can configure AI assistants to help with data modeling or automatically generate page layouts, greatly improving development efficiency.

During the usage phase, AI assistants can act on user commands or contextual information to perform tasks such as querying data, analyzing reports, or answering business questions — making the system smarter and more efficient.

No.10: Sim

Official website: https://www.sim.ai/

⭐ Stars: 17k

Overview

Sim is an open-source platform for building AI agent workflows. With its visual drag-and-drop interface, users can connect models, APIs, databases, and third-party services — all without writing code.

Key AI Features

• Visual agent builder – Design agent workflows like flowcharts by dragging and connecting steps.
• Multi-service integration – Supports models, APIs, databases, and external tools all in one place.
• Open-source and self-hostable – Can be deployed locally or on your own server to maintain control and data security.

Best Use Cases

• Process automation – Let AI agents handle repetitive tasks such as data scraping, automated email responses, or approval flows.
• Customer support / AI assistants – Build bots that connect to knowledge bases to answer questions or run queries.
• Cross-system orchestration – When multiple systems need to interact, Sim can act as the central coordinator, linking them into an intelligent workflow.

How AI Fits In

In Sim, AI agents can reason and take actions. Each agent can execute tasks on its own and connect with services, turning workflows into intelligent, autonomous processes.

No.9: Coze Studio

Official website: https://www.coze.com/

⭐ Stars: 17.9k

Overview

Coze Studio, developed by ByteDance, is a platform for building, testing, and deploying AI agents using low-code or no-code methods.

Key AI Features

• Visual agent builder – A drag-and-drop interface for assembling logic and functional modules.
• Multi-model support – Built-in templates for models like OpenAI, Claude, Qwen, and Ollama, making integration fast and simple.
• One-click deployment – Supports both local and cloud deployment for rapid testing and continuous updates.

Best Use Cases

• Internal AI tools – Q&A assistants, approval bots, monitoring assistants, and other productivity tools.
• AI prototype development – Quickly build and launch agent-based applications such as customer service bots or knowledge assistants.
• Combining multiple AI models – Useful when applications require coordinating multiple models or services with templates and plugins.

How AI Fits In

Coze Studio puts AI at the heart of the building process. Users can visually connect logic and modules to orchestrate multiple models, transitioning from simple visual assembly to AI-driven application development.

No.8: Budibase

Official website: https://budibase.com/

⭐ Stars: 27.1k

Overview

Budibase is an open-source low-code/no-code platform designed for quickly building internal tools and business applications. On top of traditional form and workflow capabilities, it introduces AI to assist with logic generation and data processing.

Key AI Features

• Smart field and data generation – AI can create fields, clean data, summarize content, and speed up application building.
• AI logic suggestions – When setting up expressions or binding logic, AI provides helpful recommendations.
• Agent integration (in progress) – Budibase is exploring ways to embed AI agents into workflows to automate tasks and trigger actions.

Best Use Cases

• Internal tools and admin systems – Quickly build approval systems, forms, dashboards, and reports.
• Intelligent data processing – Use AI for data cleaning, summarization, and batch processing.
• Automated workflows – Let AI generate reports, send emails, or perform scheduled tasks automatically.

How AI Fits In

In Budibase, AI acts as an assistant throughout the building process — generating fields, cleaning data, and optimizing logic to make internal tool development faster and smarter.

No.7: ToolJet

Official website: https://www.tooljet.ai/

⭐ Stars: 36.7k

Overview

ToolJet is an open-source low-code platform that combines drag-and-drop building with natural language generation, helping teams quickly create internal tools and AI-powered applications.

Key AI Features

• Natural language app generation – Describe the interface or functionality you want, and ToolJet can automatically generate an initial app structure.
• Agent and automation support – AI can trigger workflows, execute actions, and call APIs.
• AI-assisted development – While writing SQL or JavaScript, AI provides code suggestions, completions, and improvements.

Ideal Use Cases

• Enterprise back-office and admin systems – CRM, order processing, approval workflows, etc.
• AI-enhanced applications – Intelligent search, chatbots, knowledge Q&A tools, report generation, and more.

How AI Fits In

ToolJet integrates AI throughout the app-building process: users can generate pages and logic using natural language, and AI assists by suggesting and optimizing SQL or JavaScript during development.

No.6: Flowise

Official website: https://flowiseai.com/

⭐ Stars: 45.6k

Overview

Flowise is a visual platform for building LLM- and Agent-powered workflows. Users can drag and connect models, tools, and logic nodes to create complete intelligent flows—making it easy to build chatbots, retrieval systems, and other AI applications.

Key AI Features

• Visual workflow builder – Clearly shows model calls, tool connections, and logic paths in a flowchart-style interface.
• Support for multiple models and tools – Works with different LLMs, vector databases, external APIs, and more.
• Export and embed – Completed workflows can be exported as services or APIs and embedded into other systems.

Best Use Cases

• LLM-driven features – Such as Q&A bots, information extraction pipelines, or content generation flows.
• Internal AI hub – Add intelligent reasoning and automation into existing business systems.
• AI prototyping – Quickly test logic and combinations of different LLMs.

How AI Fits In

Flowise integrates AI directly into the workflow-building process. AI manages model calls, data processing, and tool connections, making it easier and faster to develop intelligent workflows for question answering, retrieval, and automation.

No.5: Anything-LLM

Official website: https://anythingllm.com/

⭐ Stars: 50k

Overview

Anything-LLM is an open-source, full-featured AI platform for building chatbots, retrieval systems, agents, and RAG applications.

Key AI Features

• Document-based chat and contextual retrieval – Upload documents and allow the AI to answer questions using content directly from those files.
• Multi-model flexibility – Switch between different AI models or providers to balance cost, speed, and performance.
• Plugin and agent extensions – An open extension system allows you to connect custom tools or build new AI modules.

Best Use Cases

• Internal knowledge Q&A systems – Employees can query documents directly and quickly retrieve key information.
• Private/local AI deployment – Ideal for teams that need to run AI locally without relying on cloud services, especially in data-sensitive environments.
• Lightweight agent workflows – Easily combine agents, tools, and conversation modules to create small yet powerful AI applications.

How AI Fits In

Through its built-in multi-model support and plugin system, Anything-LLM enables AI to handle document retrieval, contextual understanding, and task automation throughout the process of building chat, search, or RAG-powered applications.

No.4: NocoDB

Official website: https://nocodb.com/

⭐ Stars: 58.2k

Overview

NocoDB is an open-source alternative to Airtable that transforms databases like Postgres and MySQL into a spreadsheet-style interface, allowing non-technical users to manage data easily. With its new Noco AI features, intelligence is being integrated into data modeling and management.

Key AI Features

• Natural language table creation – Describe your business requirements in plain language, and NocoDB will automatically generate tables, fields, and views.
• Smart field and relationship suggestions – While editing database structures, AI recommends fields, relationships, and views to simplify the design process.
• Auto-generated dropdown options – In the cloud version, AI can generate appropriate dropdown selections to save configuration time.

Best Use Cases

• Business data management systems – CRM, inventory, project management, asset management, and more.
• Low-code + AI modeling – Enables business users without database knowledge to quickly build tables, design views, and create relational queries.

How AI Fits In

AI in NocoDB is embedded directly into the building experience. It assists with natural language table creation, field and relationship suggestions, and intelligent option generation—helping users model and manage data more efficiently.

💡 Read More: NocoBase vs NocoDB: An In-Depth Comparison of Open Source No-Code Tools

No.3: Strapi

Official website: https://strapi.io/

⭐ Stars: 70k

Overview

Strapi is an open-source Headless CMS — a content management backend that delivers content via APIs. It’s widely used for managing content and powering API-driven applications. In recent years, community plugins have introduced AI capabilities, making content creation and management smarter.

Key AI Features

• AI plugin ecosystem – Through community or custom plugins, users can integrate AI models for text generation, content review, summarization, and more.
• Intelligent content creation – AI offers writing suggestions, generates paragraphs, and completes text for content creators.
• Automated tagging, categorization, and SEO – AI can analyze content and automatically generate tags, categories, SEO titles, and keywords.

Best Use Cases

• Content-driven websites and products – Blogs, news portals, brand websites, and content platforms.
• Frontend-backend decoupled applications – Use React, Vue, or Next.js on the frontend while Strapi provides content APIs and AI support on the backend.
• Multilingual and localization workflows – AI-assisted translation and summarization improve efficiency in delivering content across different languages.

How AI Fits In

Strapi integrates AI through its plugin system, enabling automation and intelligence across content creation, review, classification, and multilingual publishing.

No.2: Dify

Official website: https://dify.ai/

⭐ Stars: 117k

Overview

Dify is a low-code/no-code platform focused on building AI applications and agents. It enables teams to quickly create and launch intelligent apps without deep technical expertise.

Key AI Features

• End-to-end AI app builder – Built-in capabilities for chat, retrieval, content generation, and multimodal AI that can be combined directly within the platform.
• Plugin ecosystem – Allows users to extend functionality, connect to different models, or add custom AI features.
• RAG support (Retrieval-Augmented Generation) – Combines data and large language models, allowing applications to answer questions more accurately using documents or knowledge bases.

Best Use Cases

• Chatbots and conversational systems – Quickly build bots with knowledge retrieval.
• Document and Q&A assistants – Enable users to interactively query files or data to提升信息使用效率.
• Embedding AI into SaaS or business systems – Add AI capabilities like intelligent support, recommendations, or semantic search.

How AI Fits In

Dify systematizes LLM capabilities into the app-building workflow. Without writing code, users can integrate chat, retrieval, data understanding, and plugin-based AI models directly into their business systems.

No.1: n8n

Official website: https://n8n.io/

⭐ Stars: 149k

Overview

n8n is an open-source workflow automation platform that connects services, APIs, and databases through a node-based system to create automated workflows. In recent years, it has also expanded into AI and agent-driven automation.

Key AI Features

• AI nodes – Insert AI nodes into workflows to call OpenAI or other model APIs for text processing, reasoning, and automation tasks.
• Agent-style automation – Use n8n as an agent orchestration platform, enabling workflows to make decisions, call external services, and schedule tasks intelligently.
• Extensive integration ecosystem – Supports databases, email, APIs, webhooks, and more, allowing AI to plug seamlessly into existing workflows.

Best Use Cases

• Business automation and system integration – Automate cross-system processes such as data sync, event triggers, notifications, and monitoring.
• Intelligent triggers and processing – Embed AI into workflows to auto-classify content, summarize text, or send automated responses.
• AI orchestration layer / business hub – Act as a central platform that connects systems and AI agents to coordinate intelligent operations.

How AI Fits In

n8n integrates AI directly into workflow automation. Through visual AI nodes, agent-based execution logic, and API connections, users can leverage AI models for text processing, intelligent decision-making, and task execution within automated workflows.

Conclusion

Looking back at these 11 tools, it’s clear that AI is being woven into the no-code ecosystem in many different ways:

• Natural language interfaces and data modeling (NocoBase, ToolJet, NocoDB)
• AI-assisted development and automated logic generation (Budibase, NocoBase)
• Visual agents and intelligent workflow building (Sim, Flowise, Coze Studio, n8n)
• RAG and knowledge-based Q&A applications (Dify, AnythingLLM)
• AI-powered content creation and management (Strapi)

From data modeling to workflow automation, from content creation to intelligent Q&A, AI is no longer just “another feature.”

It is reshaping the entire no-code development experience — making it lighter, faster, and far more imaginative to build intelligent products.

Perhaps in the future, the question won’t be “Do I need to learn to code?” but rather — “How do I build with AI?”

If this article inspired you, feel free to share it with others who are also exploring the fusion of AI and no-code. 👍

Related reading:

• Top 10 Open Source Project Management Tools with the Most GitHub Stars
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• Top 20 Open Source AI Projects with the Most GitHub Stars
• Top 8 Open Source MCP Projects with the Most GitHub Stars
• Top 7 Open Source Web Applications with the Most GitHub Stars
• Top 40 Open-source Developer Tools with the Most GitHub Stars
• Top 15 Fastest-Growing Open-Source Low-Code Projects on GitHub in 2025