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What is Flowise?

Flowise is an open-source development platform designed to help organizations build, test, and deploy AI agents and LLM-based applications through a visual workflow interface. The platform provides a drag-and-drop environment that simplifies the process of designing complex AI workflows and conversational systems. Developers can create chatbots, automation tools, and multi-agent systems that collaborate to perform advanced tasks. Flowise supports a wide range of AI technologies, including more than 100 large language models, embeddings, and vector databases. This flexibility allows teams to build AI applications that integrate seamlessly with different AI frameworks and data sources. The platform includes retrieval-augmented generation capabilities that enable agents to access external knowledge from documents and structured datasets. Human-in-the-loop features allow organizations to monitor, review, and refine agent decisions during execution. Flowise also provides observability tools that track execution traces and integrate with monitoring platforms such as Prometheus and OpenTelemetry. Developers can extend functionality through APIs, embedded chat widgets, and SDKs available in languages like TypeScript and Python. The platform supports scalable deployment across cloud and on-premises environments, making it suitable for enterprise AI applications. Flowise’s modular architecture allows teams to rapidly prototype new ideas while maintaining the ability to scale to production systems. By combining visual development tools with powerful AI integrations, Flowise enables organizations to create intelligent applications faster and more efficiently.

What is Autoblocks AI?

A platform crafted for programmers to manage and improve AI capabilities powered by LLMs and other foundational models. Our intuitive SDK offers a transparent and actionable view of your generative AI applications' performance in real-time. Effortlessly integrate LLM management into your existing code structure and development workflows. Utilize detailed access controls and thorough audit logs to maintain full oversight of your data. Acquire essential insights to enhance user interactions with LLMs. Developer teams are uniquely positioned to embed these sophisticated features into their current software solutions, and their propensity to launch, optimize, and advance will be increasingly vital moving forward. As technology continues to progress and adapt, we foresee engineering teams playing a crucial role in transforming this adaptability into captivating and highly tailored user experiences. Notably, the future of generative AI will heavily rely on developers, who will not only lead this transformation but also innovate continuously to meet evolving user expectations. In this rapidly changing landscape, their expertise will be indispensable in shaping the future direction of AI technology.

Media

Media

Integrations Supported

Apify
Claude Fable 5
Claude Fable 5.1
Claude Mythos 5
Claude Opus 4.7
Claude Sonnet 5.5
ElectroNeek
Firecrawl
GPT-5.4
GPT-5.4 nano
GPT-5.5
GPT-5.6 Luna
LangChain
Langfuse
Lunary
Opik
TypeScript
Zep
n8n

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Flowise AI

Date Founded

2023

Company Location

United States

Company Website

flowiseai.com

Company Facts

Organization Name

Autoblocks AI

Date Founded

2022

Company Location

United States

Company Website

www.autoblocks.ai/

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Development

Not specified

AI Orchestration

Not specified

Context Engineering

Not specified

Categories and Features

AI Agent Builders

Not specified

AI Development

Not specified

Debugging

Not specified

LLM Evaluation

Not specified

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