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Description

The Agent Client Protocol (ACP) serves to unify the communication between code editors, integrated development environments (IDEs), and coding agents, establishing agent-editor interoperability as a standard rather than necessitating unique integrations for every conceivable pairing. It establishes a common interface for interaction between AI agents and client applications, featuring a flexible, extensible, and platform-independent architecture suitable for both local and remote use cases. By tackling issues related to integration costs, limited compatibility, and developer dependency, ACP allows agents adhering to the protocol to function seamlessly with any compatible editor, while editors that embrace ACP can tap into a wider network of ACP-compatible agents. Much like the Language Server Protocol facilitated standardized language server integration, ACP separates agents from editors, enabling both to evolve independently, thereby empowering developers to select the most effective tools for their specific workflows. This innovation fosters a collaborative environment where tools can be easily integrated, enhancing overall productivity and efficiency for developers.

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

Screenshots View All

Screenshots View All

Integrations

AutoGen
CAMEL-AI
ChatGPT
Claude
DeepSeek
Gemini
Grok Build 0.1
HTML
JSON
Java
Kotlin
LangChain
Markdown
Model Context Protocol (MCP)
Python
Rust
TypeScript

Integrations

AutoGen
CAMEL-AI
ChatGPT
Claude
DeepSeek
Gemini
Grok Build 0.1
HTML
JSON
Java
Kotlin
LangChain
Markdown
Model Context Protocol (MCP)
Python
Rust
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

Agent Client Protocol (ACP)

Country

United States

Website

agentclientprotocol.com/get-started/introduction

Vendor Details

Company Name

OpenAgents

Founded

2025

Country

United States

Website

openagents.org

Product Features

Product Features

Alternatives

Alternatives

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