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Flowise

Free

Build AI Agents, Visually

FreeFree tier
Inputs: text, file, codeOutputs: text
Type
Open Source
Visit Website GitHub (52.9k stars)

About Flowise

Flowise is an open-source platform for visually building AI agents and agentic systems. It provides modular building blocks that enable users to create everything from simple chatbots to complex multi-agent workflows with orchestration. Key capabilities include single-agent chat assistants with tool calling and retrieval-augmented generation (RAG), multi-agent systems with distributed workflow orchestration, human-in-the-loop review, full execution traces with observability (Prometheus, OpenTelemetry), and developer-friendly APIs, SDKs, and embedded chat widgets. The platform supports over 100 LLMs, embeddings, and vector databases, and offers both cloud and on-premises enterprise deployment with horizontal scaling. Flowise is trusted by teams globally for accelerating AI prototyping and production deployment.

Key Features

Modular building blocks for any agentic system
Multi-agent workflow orchestration
Single-agent chat assistants with tool calling and RAG
Human-in-the-loop review
Full execution traces and observability (Prometheus, OpenTelemetry)
Developer-friendly API, SDK, and embedded widgets
Enterprise-grade cloud and on-premises deployment
100+ LLMs, embeddings, and vector databases
Supports multiple data sources: TXT, PDF, RTF, DOC, HTML, CSS, JS, JSON, XML, CSV, MD, SQL

Pros & Cons

Pros
  • Visual drag-and-drop interface lowers the barrier for building AI agents
  • Open source with active community and extensive integrations
  • Supports both simple and complex agent architectures
  • Enterprise-ready with scalable deployment options
  • Developer-friendly with APIs, SDKs, and embeddable widgets
Cons
  • Free cloud tier is limited to 2 flows, 100 predictions/month, and 5MB storage
  • Building sophisticated multi-agent systems may require understanding of orchestration concepts

Best For

Building AI assistants and chatbotsCreating multi-agent systems for complex workflowsEmbedding AI into existing applications (e.g., analytics, digital humans, copilots)Rapid prototyping and production deployment of generative AI solutionsAutomating document processing and knowledge retrieval