The history and evolution of Flowise, from its inception to becoming a leading visual low-code AI agent platform.
Flowise is an open-source visual low-code/no-code platform for building AI agents and LLM workflows. Developed by the FlowiseAI team, it has become one of the most popular tools for visual AI development with over 49,000 GitHub stars and 23,000+ forks.
Flowise was created to address the need for:
- Visual AI development without extensive coding
- Rapid prototyping of LLM applications
- Accessible AI tools for non-developers
- Enterprise-ready AI automation
The founding mission was to provide a platform that:
- Simplifies AI agent development
- Provides visual workflow building
- Supports enterprise deployment
- Maintains open-source values
¶ 2023 - Launch and Rapid Growth
Early 2023:
- Initial Release - First public version
- GitHub Launch - Repository opened
- Community Response - Rapid star growth
Mid 2023:
- Visual Builder - Drag-and-drop interface
- Node System - Modular node architecture
- LLM Integrations - Multiple LLM providers
Late 2023:
- RAG Capabilities - Built-in retrieval-augmented generation
- Vector Store Support - Multiple vector databases
- Tool Integrations - External tool connections
Early 2024:
- Multi-Agent Systems - Support for complex multi-agent workflows
- Enhanced UI - Improved user interface
- API Documentation - Auto-generated Swagger UI
Mid 2024:
- Enterprise Features - Admin roles, permissions
- Observability - Prometheus, OpenTelemetry support
- Human in the Loop - Feedback loop capabilities
Late 2024:
- Python SDK - Programmatic access
- TypeScript SDK - JavaScript/TypeScript integration
- Cloud Deployments - Production-scale deployment
Early 2025:
- Version 2.x - Major improvements
- Enhanced Security - Authentication, authorization
- Scaling Features - Redis support
Mid 2025:
- Version 2.5.x - Continuous improvements
- More Integrations - 100+ LLMs, embeddings, vector DBs
- Multi-Language - International support
Late 2025:
- Version 3.0 - Major release
- LlamaIndex Integration - Enhanced RAG
- Improved Performance - Better resource management
January 2026:
- Version 3.0.x - Continuous improvements
- Security Enhancements - Permission system, input validation
February 2026 - Version 3.0.13:
- Global Region Support - chatGoogleVertexAI
- Azure Rerankers - Enhanced RAG
- ChatCerebras v3.0 - Enhanced integration
- AWS ChatBedrock - Endpoint host support
- Cloudflare Workers AI - New integration
- Ollama Cloud - Cloud support
- Security Fixes - Multiple vulnerability fixes
| Date |
Milestone |
| 2023 |
Initial Flowise release |
| 2023 Q2 |
Visual drag-and-drop builder |
| 2023 Q3 |
RAG capabilities added |
| 2023 Q4 |
Multi-agent systems |
| 2024 Q1 |
Enterprise features |
| 2024 Q2 |
Python SDK released |
| 2024 Q4 |
30k+ GitHub stars |
| 2025 Q1 |
Version 2.x release |
| 2025 Q3 |
Version 3.0 release |
| 2025 Q4 |
40k+ GitHub stars |
| Feb 2026 |
Version 3.0.13 |
| 2026 |
49.4k+ GitHub stars |
Early Versions:
- Simple node-based workflow
- Basic LLM integrations
- Limited vector store support
Current Versions:
- Complex multi-agent orchestration
- 100+ integrations
- Advanced RAG capabilities
- Enterprise security features
Evolution:
- Basic Nodes - Simple LLM calls
- Chain Nodes - Chained operations
- Agent Nodes - Autonomous agents
- Tool Nodes - External tool integration
- Multi-Agent - Agent orchestration
Evolution:
- SQLite - Default database
- PostgreSQL - Production database
- MySQL - Alternative database
- Redis - Scaling and caching
Version 1.x API:
- Basic prediction endpoint
- Simple flow management
Current API:
- Full REST API
- Auto-generated Swagger docs
- API key permissions
- Streaming support
- File upload support
Permissions:
- ✅ Commercial use
- ✅ Modification
- ✅ Distribution
- ✅ Private use
- ✅ Patent use
Conditions:
- License and copyright notice
Apache-2.0 Benefits:
- Industry-standard permissive license
- No copyleft requirements
- Compatible with commercial use
- Patent grant included
¶ Community and Ecosystem
Official Repository:
| Metric |
Value |
| GitHub Stars |
49.4k+ |
| Forks |
23.8k+ |
| Releases |
80 |
Supported Integrations:
- LLMs: OpenAI, Anthropic, Google, Ollama, and 100+ more
- Vector DBs: Pinecone, Chroma, FAISS, Weaviate, etc.
- Tools: Calculator, Wolfram Alpha, SerpAPI, etc.
- Observability: Prometheus, OpenTelemetry
Flowise has significantly influenced the AI development space:
- Accessibility - Made AI development accessible to non-developers
- Visual Development - Popularized visual AI workflow building
- Enterprise Adoption - Focused on enterprise deployment needs
- Open Source - Apache-2.0 license encourages adoption
- RAG Democratization - Made RAG accessible to all users
- 49.4k+ GitHub stars
- 23.8k+ forks
- Widely adopted in enterprise deployments
- Featured in AI and low-code communities
- Recommended for visual AI development
- Latest Version: v3.0.13 (February 3, 2026)
- Release Cadence: Regular updates
- Active Development: Continuous feature additions
- Bug Tracking: Public GitHub issues
- Visual drag-and-drop AI agent builder
- Multi-agent systems with orchestration
- Built-in RAG capabilities
- 100+ LLM, embedding, vector DB integrations
- Python and TypeScript SDKs
- Enterprise features (admin roles, permissions)
- Auto-generated API documentation
- Observability support
- Multi-language support
Open-Source:
- Apache-2.0 License
- Free for all use cases
- Community-driven development
Cloud Offering:
- Hosted Flowise available
- Pricing tiers (Free, Starter, Pro)
- Enterprise support
Based on development patterns and public communications:
- Enhanced security features
- More LLM integrations
- Improved performance
- Better enterprise features
- Enhanced observability
- Maintain Apache-2.0 license
- Expand enterprise features
- Enhanced collaboration tools
- Better multi-agent orchestration
- Improved RAG capabilities
- Focus: Visual AI development platform
- Products: Flowise (open-source), Flowise Cloud
- Mission: Make AI development accessible to everyone
- Website: https://flowiseai.com
- GitHub: https://github.com/FlowiseAI/Flowise
- Documentation: https://docs.flowiseai.com
- Discord: Community server available
Flowise represents a visual, accessible approach to AI development. Its evolution from simple node-based workflows to a enterprise-ready platform reflects the broader trajectory of the GenAI ecosystem.
Key principles that guide Flowise:
- Accessibility - Visual development for all users
- Enterprise-Ready - Production deployment features
- Open Source - Apache-2.0 license
- Flexibility - 100+ integrations
- Security - Authentication, authorization, audit
Any questions?
Feel free to contact us. Find all contact information on our contact page.