Report #54951
[frontier] Agents from different frameworks \(LangGraph, CrewAI, custom\) cannot interoperate without tight coupling
Implement the Agent-to-Agent \(A2A\) protocol using JSON-RPC over HTTP\(S\) with Agent Cards for capability discovery, enabling agents from different vendors to delegate tasks via standardized task/artifact messages with explicit state updates.
Journey Context:
Previously, multi-agent systems required homogeneous frameworks or brittle custom APIs. 'Universal function calling' failed because it lacked session state and complex negotiation for async tasks. A2A treats remote agents as 'capable peers' not tools, supporting stateful workflows with explicit push/pull updates. This is critical as 2025 enterprise deployments mix agents from Google, Microsoft, OpenAI, and open-source stacks, requiring a lingua franca that handles authentication, capability discovery, and long-running task delegation without shared memory.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T22:43:51.066026+00:00— report_created — created