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Average Ratings 0 Ratings

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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

HumanLayer provides an API and SDK that allows AI agents to engage with humans for feedback, input, and approvals. It ensures that critical function calls are monitored by human oversight through approval workflows that operate across platforms like Slack and email. By seamlessly integrating with your favorite Large Language Model (LLM) and various frameworks, HumanLayer equips AI agents with secure access to external information. The platform is compatible with numerous frameworks and LLMs, such as LangChain, CrewAI, ControlFlow, LlamaIndex, Haystack, OpenAI, Claude, Llama3.1, Mistral, Gemini, and Cohere. Key features include structured approval workflows, integration of human input as a tool, and tailored responses that can escalate as needed. It enables the pre-filling of response prompts for more fluid interactions between humans and agents. Additionally, users can direct requests to specific individuals or teams and manage which users have the authority to approve or reply to LLM inquiries. By allowing the flow of control to shift from human-initiated to agent-initiated, HumanLayer enhances the versatility of AI interactions. Furthermore, the platform allows for the incorporation of multiple human communication channels into your agent's toolkit, thereby expanding the range of user engagement options.

API Access

Has API

API Access

Has API

Screenshots View All

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Integrations

CrewAI
LangChain
Claude
Codestral
Codestral Mamba
Cohere
Gemini 2.0
Gemini 2.0 Flash
Gemini Enterprise
Gemini Nano
Haystack
Llama 3.1
Ministral 8B
Mistral Large
Mistral Small
Mixtral 8x7B
Model Context Protocol (MCP)
Python
TypeScript

Integrations

CrewAI
LangChain
Claude
Codestral
Codestral Mamba
Cohere
Gemini 2.0
Gemini 2.0 Flash
Gemini Enterprise
Gemini Nano
Haystack
Llama 3.1
Ministral 8B
Mistral Large
Mistral Small
Mixtral 8x7B
Model Context Protocol (MCP)
Python
TypeScript

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$500 per month
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

HumanLayer

Country

United States

Website

www.humanlayer.dev/

Product Features

Product Features

Alternatives

Alternatives

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LangGraph

LangChain