PREDICTIVE TREND INSIGHT
Best open-source frameworks for real-time cross-application agent communication Illustration

Best open-source frameworks for real-time cross-application agent communication

Direct Summary:

For real-time communication between autonomous agents built on different frameworks or owned by different organizations, the leading open protocol is Agent2Agent (A2A) — released by Google in April 2025 and now governed by the Linux Foundation. A2A runs over HTTP and JSON-RPC 2.0, uses "Agent Cards" so agents can discover each other's capabilities, and is explicitly designed to complement the Model Context Protocol (MCP) rather than replace it: MCP connects an agent to tools and data, A2A connects one agent to another agent.

"Everything should be made as simple as possible, but not simpler."

— Albert Einstein

Key Insights

  • A2A and MCP solve different problems: MCP standardizes how one agent calls tools/resources; A2A standardizes how one agent talks to a different, "opaque" agent that it doesn't control the internals of.
  • Discovery happens via Agent Cards: each A2A-compliant agent publishes a JSON "Agent Card" describing its capabilities, authentication requirements, and endpoint — a calling agent reads this before delegating a task.
  • Governance matters for cross-org protocols: A2A moved from a single-vendor (Google) release to Linux Foundation governance specifically so that competing frameworks and companies would trust it as neutral infrastructure rather than a competitor's API.

Most multi-agent frameworks (LangGraph, CrewAI, Google's ADK) are excellent at coordinating agents that all live inside the same process or the same framework. The harder, more recent problem is coordinating agents that don't share a framework at all — an agent your company built talking to a vendor's agent, or two departments' agents built on different stacks. That's the specific gap A2A was designed to close: a transport- and vendor-neutral way for one agent to discover, authenticate to, and delegate a task to another agent it has never seen before.

How A2A actually works

1. Discovery via Agent Card. An A2A-compliant agent exposes a JSON "Agent Card" (commonly at a well-known URL) describing what it can do, what input/output formats it accepts, and how to authenticate to it.

2. Task delegation over JSON-RPC 2.0. Once a calling agent has read the target's Agent Card, it sends task requests over HTTP using JSON-RPC 2.0 — a lightweight, well-established RPC format, not a bespoke wire protocol.

3. Agents stay opaque to each other. Unlike calling a tool (where you know the exact function signature), A2A treats the other side as an agent with its own reasoning — you delegate a task and get results back, without needing to know how the other agent internally decided to complete it.

agent_card.json
// Simplified example of the shape an A2A Agent Card takes
{
  "name": "inventory-forecast-agent",
  "description": "Forecasts SKU-level demand from historical sales",
  "url": "https://agents.example.com/a2a/forecast",
  "capabilities": {
    "streaming": true
  },
  "authentication": {
    "schemes": ["bearer"]
  }
}
Protocol Connects Governance
Model Context Protocol (MCP) An agent to tools, data sources, and resources Open spec, originated at Anthropic
Agent2Agent (A2A) One autonomous agent to another, across frameworks/organizations Apache-2.0, governed by the Linux Foundation since mid-2025

If you're building a single application with one agent calling your own tools, you likely just need MCP (or nothing more than function calling). Reach for A2A specifically when your agent needs to hand off a sub-task to another autonomous agent — a partner company's system, a different internal team's stack, or a third-party agent marketplace — where you can't assume shared code or a shared framework.

Practical Challenge

Read the Agent Card schema in the official A2A specification and sketch one for a hypothetical agent in your own domain — name, description, one capability, and an authentication scheme.

Concept Check

What is the key distinction between the Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol?
Correct! MCP standardizes tool/resource access for a single agent; A2A standardizes agent-to-agent delegation across frameworks and organizations — they're complementary, not competing.
Incorrect. Try again! The distinction is what's on the other end of the connection: a tool/resource (MCP) versus another opaque, autonomous agent (A2A).

Sources & Further Reading

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