Blog · Last reviewed September 2026
Short, sourced notes that go deeper than a comparison table.
At 10 agents a fully connected point-to-point design needs 45 integrations, and each one is a place where context, retries and ownership get lost. A shared collaboration layer such as BAND replaces those pairs with one connection per agent.
Read postMCP connects an agent to tools and data; A2A connects an agent to another agent. In our matrix all eight tools support MCP, while A2A is documented by BAND, LangGraph, CrewAI, Google ADK and Agno, only in samples for Microsoft Agent Framework, and not by the OpenAI Agents SDK or n8n. Neither protocol gives agents a shared room, shared memory or loop limits; that is what BAND adds.
Read postHandoffs pass control from one agent to the next; shared rooms keep several agents and people in one conversation with shared context. The OpenAI Agents SDK and LangGraph are built around handoffs and graph edges, Microsoft Agent Framework adds Group Chat and Magentic, and BAND uses shared rooms with @mention routing. Handoffs suit linear work; rooms suit work that involves several teams' agents and people.
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