← Back to Directory

FlowiseAI

AI Agents

Overview

An open-source low-code tool for building customized LLM orchestration flows. It provides a visual builder for designing multi-agent systems and complex RAG workflows.

Flowise is an open-source visual builder for LLM apps, letting you assemble chains, agents, and RAG pipelines by dragging and connecting nodes. It lowers the barrier to prototyping agentic systems without writing orchestration code, while remaining self-hostable for control. An API and embeddable widgets make it easy to ship what you build.

Key Features

  • Drag-and-drop visual flow builder
  • Prebuilt nodes for agents, chains, and RAG
  • Self-hostable and open-source
  • API and embeddable chat widgets
  • Integrations with popular models and vector stores

Best For

Developers and tinkerers who want to visually prototype agent and RAG workflows.

Pros & Cons

Pros
  • Fast visual prototyping
  • Open-source and self-hostable
  • Easy to embed and deploy
Cons
  • Visual graphs get messy at scale
  • Less control than code-first frameworks
Advertisement

Pulse Verdict

The best visual IDE for agent builders. Its flexibility and open-source nature make it ideal for experimenting with complex agent-to-agent logic.

Pricing

Open-source and free to self-host; paid cloud tier available.

Pricing changes often — confirm current plans on the official site.

Visit Official Website →

Related Tools

LangGraph

A library for building stateful, multi-agent applications with LLMs, built on top of LangChain. Provides fine-grained control over agent loops.

LangFlow

A Python-based visual framework for building multi-agent systems. It allows for rapid prototyping of AI agents with deep integration into the LangChain ecosystem.

LlamaIndex

A data framework for LLM applications that provides powerful tools for ingesting, structuring, and accessing private or domain-specific data. It is the leading library for building complex RAG systems.

Rivet

An open-source visual IDE for building complex AI agents and logic. It allows developers to design LLM flows with a node-based interface, providing deep debugging tools and seamless integration into production environments.

Mastra

An open-source framework for building and orchestrating AI agents with TypeScript. Mastra provides a unified layer for managing agent state, tools, and workflows with built-in observability and evaluation.