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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

The Gemini Deep Research Agent provides an intelligent, automated research workflow that behaves like an “analyst-in-a-box,” capable of planning, searching, reading, and synthesizing information across the public web and proprietary data sources. Using Gemini 3 Pro at its core, it navigates multi-step reasoning tasks and produces long-form, citation-backed reports that traditional LLM calls cannot match. Developers use asynchronous background execution to support research cycles that run for several minutes, with automatic polling and reconnect logic for reliability. Streaming mode offers real-time transparency, surfacing thought summaries and partial findings throughout the process. The agent is steerable through formatting instructions, allowing teams to generate technical reports, competitive analyses, or structured documents with precision. It also supports follow-up questions tied to prior interactions, enabling iterative refinement and deeper exploration. Designed with safety controls, it protects against harmful web content, prompt injection risks, and unintended data exposure. This makes it ideal for organizations seeking to automate sophisticated research workflows while maintaining operational control and trustworthiness.

API Access

Has API

API Access

Has API

Screenshots View All

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Integrations

CrewAI
Gemini
Gemini 2.5 Pro
Gemini 2.5 Pro Deep Think
Gemini 2.5 Pro Preview (I/O Edition)
Gemini 3 Deep Think
Gemini 3.1 Flash-Lite
Gemini 3.1 Pro
Gemini 3.5 Pro
Gemini Deep Research Max
Gemini Enterprise
Google
Google AI Plus
Google AI Pro
Google AI Ultra
LangChain
Model Context Protocol (MCP)
NotebookLM
TypeScript
WeatherNext

Integrations

CrewAI
Gemini
Gemini 2.5 Pro
Gemini 2.5 Pro Deep Think
Gemini 2.5 Pro Preview (I/O Edition)
Gemini 3 Deep Think
Gemini 3.1 Flash-Lite
Gemini 3.1 Pro
Gemini 3.5 Pro
Gemini Deep Research Max
Gemini Enterprise
Google
Google AI Plus
Google AI Pro
Google AI Ultra
LangChain
Model Context Protocol (MCP)
NotebookLM
TypeScript
WeatherNext

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
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

Google

Founded

1998

Country

United States

Website

ai.google.dev/

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