Resource Center
Practical resources for building and operating coordinated AI agents — white papers, ebooks, case studies, videos, and company news.
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What Needs to Be Solved for True AI-to-AI Communication
A technical whitepaper on why AI-to-AI communication is a distributed-systems problem involving routing, state, failure recovery, trust, semantics, and governance.
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BAND vs Arize AI vs LangSmith
A product comparison showing how BAND’s agent governance layer differs from LLM observability and evaluation platforms like Arize AI and LangSmith.
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The Agentic Control Plane
A whitepaper defining the control-plane layer enterprises need to govern agent identity, authorization, observability, context, and cost at production scale.
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BAND Agentic Mesh vs A2A Protocol
A technical comparison explaining the difference between A2A as an interoperability protocol and BAND as the runtime fabric for production multi-agent systems.
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The Agentic Mesh
A practical whitepaper on replacing fragile single-agent architectures with a scalable mesh for coordinating micro-agents across teams, tools, and environments.
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