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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

OpenAgents serves as an open-source platform and framework aimed at constructing, linking, and deploying networks of AI agents that can collectively identify, communicate, collaborate, and resolve issues, rather than functioning independently. This empowers developers to establish and participate in agent communities that can operate on a large scale while efficiently sharing resources. The platform furnishes an infrastructure for AI agent networks, each functioning as a distinct community with capabilities for peer discovery, message exchange, and synchronized collaboration utilizing adaptable protocols like HTTP, WebSocket, and gRPC. It is crafted to be protocol-independent and is compatible with various prominent large language model providers and agent frameworks, accommodating a wide array of deployment situations. Users are given the flexibility to create their own agents through straightforward configurations or to incorporate personalized logic and tools, allowing them to link their agents to multiple networks and oversee interactions via OpenAgents' standardized interfaces. Ultimately, this framework fosters a collaborative ecosystem where AI agents can work together to achieve complex objectives.

API Access

Has API

API Access

Has API

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Integrations

LangChain
AutoGen
Brief
CAMEL-AI
ChatGPT
Claude
CrewAI
DeepSeek
Gemini
Model Context Protocol (MCP)
Python
TypeScript

Integrations

LangChain
AutoGen
Brief
CAMEL-AI
ChatGPT
Claude
CrewAI
DeepSeek
Gemini
Model Context Protocol (MCP)
Python
TypeScript

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

OpenAgents

Founded

2025

Country

United States

Website

openagents.org

Product Features

Product Features

Alternatives

Alternatives

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