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About

The Agent Communication Protocol (ACP) is an open interoperability standard designed to enable seamless communication between AI agents, applications, and human users. It provides a standardized RESTful API that supports synchronous and asynchronous interactions, streaming communication, long-running tasks, and both stateful and stateless operations. ACP is framework-agnostic, allowing agents built with technologies such as BeeAI, LangChain, CrewAI, or custom solutions to work together without requiring changes to their internal architecture. The protocol supports all content modalities through MimeTypes, making it flexible enough to handle text, images, audio, video, and custom data formats. ACP also includes capabilities for online and offline agent discovery, helping organizations find and connect compatible agents across different environments.

About

XHawk is an AI-native developer platform designed to transform scattered code, documentation, and team knowledge into a unified, searchable system of context. It captures every coding session, commit, and decision, automatically organizing them into a living knowledge graph that evolves with the codebase. It converts code changes and development activity into structured, indexed documentation, ensuring that knowledge stays synchronized with every pull request and eliminating gaps between code and documentation. It provides a shared context layer that enables both humans and AI coding agents to plan, code, review, test, and operate systems with a consistent understanding, reducing hallucinations caused by missing context. XHawk includes features such as session intelligence, where every git commit syncs session history and agent reasoning, creating a permanent, searchable record of how software is built.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

ACP is designed for AI developers, software engineers, technology teams, and organizations building, integrating, or managing interoperable AI agents across multiple platforms and frameworks

Audience

Engineering teams and developers seeking to use AI agents effectively by maintaining a unified, searchable context of their entire codebase and development process

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The Linux Foundation
agentcommunicationprotocol.dev/

Company Information

XHawk
United States
xhawk.ai/

Alternatives

Alternatives

Semantic Kernel

Semantic Kernel

Microsoft
LangGraph

LangGraph

LangChain
Nia

Nia

Nozomio

Categories

Categories

Integrations

Model Context Protocol (MCP)
Aider
Amp
Brief
Claude Code
CodeRabbit
Codex CLI
CrewAI
Cursor
Gemini CLI
GitHub Copilot
Greptile
Jules
LangChain
OpenAI Codex
Python
TypeScript

Integrations

Model Context Protocol (MCP)
Aider
Amp
Brief
Claude Code
CodeRabbit
Codex CLI
CrewAI
Cursor
Gemini CLI
GitHub Copilot
Greptile
Jules
LangChain
OpenAI Codex
Python
TypeScript
Claim Agent Communication Protocol (ACP) and update features and information
Claim Agent Communication Protocol (ACP) and update features and information
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Claim XHawk and update features and information