
Flowise
Flowise is an open-source visual AI agent development platform. It builds multi-agents and chat assistants with modular building blocks, supports RAG, manual review and execution tracking, and can be deployed locally or on the cloud.
Updated: 2026-10-26
What is Flowise?
Flowise is an open-source generative AI development platform, officially positioned as "Build AI Agents, Visually" - it allows you to build agent systems through drag-and-drop modular building blocks, covering everything from simple combined workflows to autonomous agents. Compared with frameworks that require writing a lot of code, it differs in that it orchestrates LLM, tool calling, and knowledge retrieval into visual nodes, and developers can start it immediately after installing via npm. Note: The official website currently displays the prompt "We're sunsetting Flowise", meaning the official is gradually discontinuing maintenance. It is recommended to confirm the current status on the official website before selecting this tool for new projects.
Who is it for?
- Developers and small teams who want to build AI agents and chatbots using low-code methods.
- Engineering teams that need to string RAG knowledge bases and tool calls into workflows but don't want to write orchestration logic from scratch.
- SaaS teams looking to embed AI agents into their websites or products and provide observable execution traces.
- Organizations that want to run AI agents on-premises or in a private cloud and have compliance requirements regarding the deployment location of data and models.
Key features
6Agentflow (Multi-Agents)
Combine multiple collaborative agents through workflow orchestration, assign tasks to different agents for execution, suitable for complex autonomous tasks.
Chatflow (Chat Assistant)
Build single-agent chatbots that support tool calling and knowledge retrieval (RAG) from diverse data sources.
Human-in-the-Loop (Manual Review)
Allows humans to review tasks executed by AI agents in the feedback loop, requiring confirmation before key steps are approved.
Execution Traces
Provide a complete record of execution links and support monitoring through observability tools such as Prometheus and OpenTelemetry.
API, SDK and Embedding
Connect AI agents to your own applications through APIs, TypeScript and Python SDKs, as well as embedded chat components.
Production-grade Deployment
Supports cloud and on-premises deployment. The official states it can integrate with over 100 large language models, embedding models and vector databases, and enables horizontal scaling.
How to use Flowise
- First, use `npm install -g flowise` and `npx flowise start` to get a Chatflow running locally, then expand to multi-agent setups.
- In a production environment, make sure to enable execution traces and human-in-the-loop review, and leave high-risk actions for human confirmation.
- For private deployment, first confirm that the target large models and vector libraries are within the official 100+ integration scope.
- As the official has announced the gradual end of maintenance, please verify the current version and support status on the official website before implementing important projects, and ensure proper self-hosted backups are in place.
Traffic & popularity
Data month Sep 2026
Flowise receives about 38.0K visits per month and ranks #976,518 worldwide.
Monthly visits
12 monthsTraffic sources
- Search57.5%
- Direct29.6%
- Referrals7.1%
- AI assistants3.3%
- Social2.5%
Top countries
- India15.6%
- United States15.4%
- France6.8%
- Vietnam6.0%
- Russia5.7%
Estimated from third-party traffic data.
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