10 AI Agent Protocols you should learn in 2025:

• ACP (IBM) – Agent Communication Protocol

  • Standardized interface for agent interactions and workflow management.

• AGP (Industry) – Agent Gateway Protocol

  • Communication bridge between agents and external systems.

• A2A (Google) – Agent-to-Agent Protocol

  • Structured communication between multiple AI agents.

• MCP (Anthropic) – Model Context Protocol

  • Unified protocol for feeding tools and memory into LLMs.

• TAP (LangChain) – Tool Abstraction Protocol

  • Standardized JSON schema for tool metadata and execution.

• OAP (Community) – Open Agent Protocol

  • Standardizing inter-agent APIs across frameworks.

• RDF-Agent (Semantic Web) – RDF-Based Agent

  • Communication Linked Data-based agent communication using Semantic Web standards.

• AgentOS (Proprietary) – Agent Operating Stack

  • Runtime protocol for long-lived enterprise agent management.

• TDF (Stanford) – Task Definition Format

  • Declarative schema for tasks, inputs, and optimization goals.

• FCP (OpenAI) – Function Call Protocol

  • Standard format for LLM function invocation with schema enforcement.