CIOPages
DirectoryAI & ML PlatformsLLM Infrastructure & APIsFlowise

Flowise

Open SourceFunded

Visual platform to build and deploy AI agents and workflows

Visit Website

About Flowise

Flowise is an open-source platform designed for building AI agents and autonomous systems using a visual, modular approach. It enables enterprises to create complex multi-agent workflows, chat assistants, and human-in-the-loop systems with ease, supporting integration with over 100 large language models, embeddings, and vector databases. The platform is developer-friendly, offering APIs, SDKs, and embedded chat widgets to extend AI capabilities into existing applications.

Targeted at enterprise organizations, Flowise supports both cloud and on-premises deployments with scalable infrastructure suitable for production environments. Its observability features include full execution traces and compatibility with Prometheus and OpenTelemetry, ensuring operational transparency. Flowise’s modularity and extensibility make it ideal for businesses seeking to accelerate AI adoption while maintaining control over deployment and integration with existing data sources and tools.

Key Capabilities

  • ✓Visual drag-and-drop AI agent builder
  • ✓Multi-agent workflow orchestration
  • ✓Human-in-the-loop task review
  • ✓Support for 100+ LLMs and vector databases
  • ✓Enterprise-grade observability and scalability

Integrations

LangChainPrometheusOpenTelemetry

Related Buyer Guides

Independent evaluation frameworks for this category.

AI Agent & Agentic AI Platforms
Compare LangGraph, CrewAI, Microsoft Agent Framework, OpenAI Agents SDK, Google ADK, AWS Bedrock AgentCore, LlamaIndex, and Temporal — where production operability, not the slickest multi-agent demo, is the deciding criterion.
AI Governance & Responsible AI
Evaluate IBM watsonx.governance, Credo AI, Microsoft Purview, ServiceNow, Holistic AI, Fiddler, Arthur, and Monitaur — and decide first whether your gap is governance and compliance or ML observability, because the EU AI Act and NIST AI RMF reward the platform wired into how models are built and run.
Computer Vision & Visual AI
Evaluate Google Vision/Vertex AI, AWS Rekognition, Azure AI Vision, Landing AI, Roboflow, Cognex, Encord, and Ultralytics — with the pretrained-API vs. custom-model and cloud vs. edge decisions, not a generic feature list, as the deciding criteria.

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

flowiseai.com
CategoryAI & ML Platforms
SubcategoryLLM Infrastructure & APIs
PricingSubscription
DeploymentOpen Source, Cloud, On-Premises
Target SizeEnterprise