A Python package designed to help users of Cisco's FMC interface with its API.

A Python implement of Agent Client Protocol (ACP, https://agentclientprotocol.com, by Zed Industries)

Multi-agent workflows and complex Agent interactions, both via YAML manifest and programmatic usage. MCP & ACP (Agent Client Protocol) support

SUPERVAIZER is a toolkit built for the age of AI interoperability. At its core, it implements Google's Agent-to-Agent (A2A) protocol, enabling seamless discovery and interaction between agents across different systems and platforms.

A Python SDK for DeFi vault registration and yield analysis services within the Agent Commerce Protocol (ACP) ecosystem.

Hackster Learning Series about AI Agentic protocols (MCP, A2A, ACP) with practical code examples.

A production-ready multi-agent system showcasing Agent Communication Protocol (ACP) and Model Context Protocol (MCP) capabilities through a collaborative research workflow.

Génération data et graphs d'une ACP

nano-degree in Agentic AI

Antimicrobial Peptide, EnsemPred-ACP

Feature Extraction and Classification of crack signals

Write Remote Telescope Markup Language (RTML) XML files to be read by ACP Scheduler

🚀 Build and integrate decentralized finance applications easily with the defi-protocol-sdk for seamless blockchain interaction.

A2A<->ACP Bridge

The project uses training data to assess, monitor, and predict runners’ performance through machine learning, in order to optimize their training sessions and suggest routes tailored to their level.

This repository contains an advanced Agent Communication Protocol (ACP) implementation that integrates with GitHub's AI model (OpenAI GPT-5) to provide intelligent responses. This guide will walk you through everything from setup to completion of the assignment.

This project helps you learn the basics of the Agent Communication Protocol (ACP) by completing a small hands-on task.