RT Avi Chawla (@_avichawla)After MCP, A2A, & AG-UI, there's another Agent protocol (open-source).ACP (Agent Communication Protocol) is a standardized, RESTful interface for Agents to discover and coordinate with other Agents, regardless of their framework (CrewAI, LangChain, etc.).Here's how it works:- Build your Agents and host them on ACP servers.- The ACP server will receive requests from the ACP Client and forward them to the Agent.- ACP Client itself can be an Agent to intelligently route requests to t ...

Agent Communication Protocol (ACP) Overview - ACP (Agent Communication Protocol) is introduced as a new open-source Agent protocol [1] - The protocol facilitates Agent discovery and coordination, irrespective of their underlying framework (e g CrewAI, LangChain) [1] - ACP utilizes a standardized, RESTful interface [1] Resource and Contact Information - Avi Chawla (@_avichawla) shares tutorials and insights on DS, ML, LLMs, and RAGs [1] - A link is provided for further details on how ACP works (https://t co/q6xFvQKYgw) [1]

Agent Communication Protocols - ACP (Agent Communication Protocol) is presented as a new open-source protocol for agent communication, offering a standardized RESTful interface [1] - The protocol facilitates agent discovery and coordination across different frameworks like CrewAI and LangChain [1] - An ACP Client can function as an intelligent router for requests to agents, similar to MCP Client [1] ACP vs A2A - ACP is designed for local-first, low-latency communication, while A2A is optimized for web-native, cross-vendor interoperability [3] - ACP utilizes a RESTful interface for easier integration, whereas A2A supports more flexible interactions [3] - ACP is suited for controlled, edge, or team-specific environments, while A2A excels in broader cloud-based collaboration [3] Development and Deployment - The industry is encouraged to build ACP-compliant agents using frameworks like CrewAI and Smolagents [3] - Agents can be chained in sequential and hierarchical workflows, managed by ACP clients [3] - Agents can be imported to a public registry for easy discovery [3] - DeeplearningAI offers a course on building and hosting agents on ACP servers [2]