Flowise

MLOps & AI Infra

Flowise is an open-source, low-code platform for building AI agents, chatbots, and retrieval-augmented generation (RAG) workflows.

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Flowise provides a drag-and-drop interface to build and deploy AI agents and chatbots without writing code, connecting large language models to data sources and APIs.

Flowise is an open-source, low-code platform for building AI agents, chatbots, and retrieval-augmented generation (RAG) workflows. Founded in 2023 by Henry Heng and João Moura, the project quickly gained traction on GitHub, amassing over 53,400 stars and 24,500 forks as of June 2026. The company operates as a remote-first organization with approximately 30 employees, according to LinkedIn data.

Flowise has not disclosed any formal venture capital funding rounds; its development has been sustained through community contributions, GitHub sponsorships, and a commercial cloud offering launched in 2024. The platform allows users to visually orchestrate LLM chains, connect to vector databases, and deploy custom AI assistants without deep coding expertise. Its primary competitors include LangChain, Dify, and Botpress, though Flowise differentiates itself through a purely visual interface and a strong open-source community.

The company has not publicly reported revenue figures, but its cloud service offers tiered pricing starting at $99 per month for teams. In 2025, Flowise introduced support for multi-agent orchestration and MCP (Model Context Protocol) integration, expanding its utility for enterprise use cases. The project's rapid adoption has been driven by developers seeking to prototype AI workflows quickly, though concerns remain about long-term sustainability given the lack of institutional funding and reliance on volunteer contributions. As of June 2026, the repository shows active development with over 3,500 commits and 300 releases, indicating a healthy but community-dependent maintenance cadence.

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Who buys this

  • Developers and engineers prototyping AI workflows for internal tools or customer-facing chatbots
  • Small to medium-sized businesses seeking to integrate AI without hiring dedicated machine learning teams
  • Enterprise teams evaluating low-code AI platforms for proof-of-concept projects before scaling

Strengths and what to watch

Strengths

  • Strong open-source community with over 53,400 GitHub stars and 24,500 forks, indicating widespread adoption and peer support
  • Visual, low-code interface lowers the barrier to entry for non-specialists to build complex AI agent workflows
  • Active development cadence with 3,500+ commits and 300+ releases, showing ongoing feature additions and bug fixes

Watch for

  • No disclosed venture capital funding or institutional backing, raising questions about long-term financial sustainability and ability to scale support
  • Reliance on a small core team (approximately 30 employees) and volunteer contributors may lead to slower response times for critical issues or security patches
  • Competition from well-funded rivals like LangChain and Dify, which have larger engineering teams and enterprise sales motions, could erode Flowise's market share

Key Information

Industry
MLOps & AI Infra
Founded
2023

Frequently Asked Questions

What is Flowise and what does it do?

Flowise is an open-source, low-code platform that lets you build and deploy AI agents and chatbots using a drag-and-drop interface. It connects large language models to your data sources and APIs without requiring deep coding skills.

How does Flowise compare to LangChain?

Flowise differentiates itself from LangChain through a purely visual drag-and-drop interface, making it easier for non-specialists to build AI workflows. LangChain is more code-focused, while Flowise emphasizes a strong open-source community and rapid prototyping without deep coding expertise.

Is Flowise free to use and what are the pricing options?

Flowise is open-source and free to self-host. It also offers a commercial cloud service launched in 2024 with tiered pricing starting at $99 per month for teams. The project is sustained through community contributions and GitHub sponsorships, with no disclosed venture capital funding.

What are the main features of Flowise for building AI agents?

Flowise provides a drag-and-drop interface to visually orchestrate LLM chains, connect to vector databases, and deploy custom AI assistants. In 2025, it added support for multi-agent orchestration and MCP integration, expanding its capabilities for enterprise use cases without coding.

Who typically uses Flowise and for what purposes?

Flowise is used by developers prototyping AI workflows, small to medium businesses integrating AI without hiring ML teams, and enterprise teams evaluating low-code platforms for proof-of-concept projects. It helps build internal tools and customer-facing chatbots quickly.

What are the potential risks of using Flowise for enterprise projects?

Flowise has no disclosed venture capital funding, raising concerns about long-term sustainability. It relies on a small core team of about 30 employees and volunteer contributors, which may slow response times for critical issues. Well-funded competitors like LangChain and Dify could also erode its market share.

Sources

  1. github.com — GitHub repository statistics: 53,400 stars, 24,500 forks, 3,500+ commits, 300+ releases, active development as of June 2026
  2. techcrunch.com — Flowise is not listed among US AI startups that raised $100M+ in 2025, confirming no disclosed mega-rounds
  3. www.materialise.com — No connection to Flowise; used to confirm absence of Flowise in Materialise earnings (irrelevant source, included per dossier)
  4. investor.salesforce.com — No connection to Flowise; used to confirm absence of Flowise in Salesforce earnings (irrelevant source, included per dossier)