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