A2a

Google’s Agent-to-Agent (A2A) protocol is fast becoming the standard handshake for cross-agent communication in production agentic systems. A new deep-dive from freeCodeCamp — paired with a working GitHub implementation at win4r/openclaw-a2a-gateway — shows exactly how to wire A2A into an OpenClaw plugin so your agent can receive tasks from any A2A-compliant caller. This how-to summarizes the architecture and key implementation steps. For the full guide, see the freeCodeCamp article. What You’re Building An A2A plugin bridge does three things: ...

The AI agent framework landscape has shifted significantly in the last 90 days. The framework you chose for your agentic project in January 2026 might not be the right choice in April — and one major player has effectively retired. This is the freshest comparison available as of this morning, covering 8 SDKs and 3 inter-agent protocols. The 8 Frameworks 1. Claude Agent SDK (Anthropic) Anthropic’s first-party SDK for building agents on Claude. Deep integration with Claude Code’s subagent architecture, native MCP tool support, and CLAUDE.md context injection. Best choice if you’re building Claude-native workflows and want tight model-SDK alignment. Not model-agnostic. ...

At MWC 2026 in Barcelona, Huawei made a move that the agentic AI builder community should pay attention to: the company announced the open-source release of A2A-T — an Agent-to-Agent protocol purpose-built for telecom infrastructure. It’s the first time a Tier-1 carrier equipment vendor has put its weight behind a standardized inter-agent communication protocol. Important caveat up front: this is a press announcement from Huawei at an industry conference. The open-source repository details are sparse, and multiple reports frame this as “to be released during MWC” rather than live-now. Verify availability before building on it. ...

Enterprise data infrastructure and agentic AI are colliding in a significant way today. Confluent — the company built around Apache Kafka and real-time streaming data — has added official support for the Agent2Agent (A2A) protocol to its Confluent Intelligence platform. Alongside MCP (Anthropic’s Model Context Protocol), A2A is now a first-class citizen in Confluent’s agent orchestration layer. This is a story about infrastructure maturing to meet where agents are going — and it matters for any team building multi-agent systems on top of real-world data streams. ...