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ease
features
design
support

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Description

Agent Communication Protocol (ACP) is an open standard created to solve interoperability challenges between AI agents operating across different frameworks and platforms. The protocol establishes a common communication layer using REST-based APIs, enabling agents to exchange information through familiar HTTP patterns. Organizations can use ACP to connect agents regardless of the underlying technology stack, reducing the need for custom integrations and framework-specific connectors. It supports both real-time and asynchronous communication models, making it suitable for simple requests as well as long-running workflows. ACP accommodates a wide variety of content types through MimeType-based messaging, allowing agents to share text, multimedia, and specialized data formats. The protocol also enables agent discovery, including scenarios where agents are offline or operating in disconnected environments. Developers can interact with ACP using standard HTTP tools or leverage official Python and TypeScript SDKs for faster implementation. By standardizing communication, ACP simplifies the development of multi-agent systems that collaborate across applications, departments, and organizations. The project is governed as an open initiative within the Linux Foundation ecosystem, encouraging community-driven innovation and broad industry adoption.

Description

Flowise is an open-source agentic development platform designed to help teams build AI agents and LLM-powered applications using a visual workflow interface. The platform allows users to design intelligent workflows through modular components that can be combined to create chatbots, automation systems, and autonomous AI agents. Developers can build both single-agent chat assistants and multi-agent systems that collaborate to complete complex tasks. Flowise integrates with more than 100 large language models, embedding models, and vector databases, providing flexibility in selecting AI technologies. The platform also supports retrieval-augmented generation (RAG), enabling applications to retrieve knowledge from documents and data sources. Built-in features such as human-in-the-loop workflows allow users to review and validate agent actions before execution. Observability tools provide detailed execution traces and compatibility with monitoring systems like Prometheus and OpenTelemetry. Developers can integrate Flowise with existing applications using APIs, SDKs, or embedded chat widgets. The platform supports both cloud and on-premises deployment environments for enterprise scalability. By providing visual tools and flexible integrations, Flowise accelerates the development and deployment of advanced AI-driven applications.

API Access

Has API

API Access

Has API

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Integrations

LangChain
TypeScript
Apify
Arize AI
Axis LMS
Brief
Chatzapbot
Claude Opus 4.6
Claude Opus 4.8
CrewAI
Firecrawl
GPT-5.4 mini
GPT‑5.4 Thinking
Gemini 3.1 Pro
Gemini 3.5 Pro
GitHub
Langfuse
Lunary
Node.js
Python

Integrations

LangChain
TypeScript
Apify
Arize AI
Axis LMS
Brief
Chatzapbot
Claude Opus 4.6
Claude Opus 4.8
CrewAI
Firecrawl
GPT-5.4 mini
GPT‑5.4 Thinking
Gemini 3.1 Pro
Gemini 3.5 Pro
GitHub
Langfuse
Lunary
Node.js
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

The Linux Foundation

Website

agentcommunicationprotocol.dev/

Vendor Details

Company Name

Flowise AI

Founded

2023

Country

United States

Website

flowiseai.com

Product Features

Alternatives

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