Best way to run agents from different frameworks together

Rarely by design. One team picks LangGraph for a stateful research agent. Another ships a CrewAI crew for support triage because it was quick. A vendor product arrives with its own agent: Copilot Studio, Agentforce, SAP Joule. And every engineer has a coding agent. BAND's own framing is that you should be able to "use the best framework for the job and not have to choose one." Rewriting everything into one framework is expensive and usually loses the reason each was chosen.

A2A solves the wire format. It lets an agent in one framework call an agent in another, and it is now at v1.0 under the Linux Foundation. What it does not define, on purpose, is shared memory: agents stay opaque. So with A2A alone you get point-to-point calls, and you still have to decide where the conversation lives, who sees what, how loops are stopped, and where a person steps in. With 5 agents that is 10 possible pairs to reason about; with 10 agents it is 45. A collaboration layer turns that into one connection per agent to a shared room.

Each agent connects through a native adapter, an SDK (Python or TypeScript) or A2A/MCP. Agents join rooms. A message addressed with an @mention goes to that agent, and BAND tracks its lifecycle per agent with attempt history and exactly-once processing. Loops are limited by mandatory mentions and per-room limits. Context that should outlive a single exchange goes into Memories. People sit in the same rooms and can inspect, approve or override.