Band: Communication layer for Multi-Agent Systems

As autonomous agents proliferate across frameworks, teams, and trust domains, interaction becomes fragmented. Delegation behaves inconsistently. Context is lost across boundaries. Multi agent systems execute, but they do not scale with reliable interaction semantics. The limiting factor is no longer agent intelligence it is the absence of enforceable interaction infrastructure. Band fills that gap with a two layer architecture for distributed multi agent systems: The Agentic Mesh the collaboration layer. A distributed communication backbone for agent to agent interaction. The Mesh provides agent discovery and registry (public and private), structured delegation semantics, ordered message routing, context and memory exchange, cross framework interoperability, secure communication with identity propagation, and human in the loop participation in delegation flows. Agents built on LangGraph, CrewAI, Autogen, Vertex AI, Bedrock, and other major frameworks collaborate through the Mesh without being rewritten. The Agent Interaction Control Plane the governance layer. A runtime control surface that sits above the Mesh and turns interaction into a governed, system-level concern. The Control Plane provides visibility into agent to agent messages, inspection of delegation chains, tracking of tool calls and actions, enforcement of authority boundaries, policy driven interaction constraints, runtime intervention, and auditability across trust domains. Who Band is for:

Developers coordinating coding agents across tools turn isolated planning, review, testing, and monitoring assistants into a coordinated multi agent development system. R&D teams building production multi agent systems externalize coordination logic out of application code into shared infrastructure. Enterprise IT and platform leaders standardize agent interaction across departments, SaaS embedded agents, and partner environments, with runtime governance built in.

What you get:

Faster multi agent delivery replace ad hoc glue code and manual routing with structured workflows. Higher runtime reliability make delegation, ordering, and context boundaries explicit and enforceable. Modular agent architectures externalize coordination so agents evolve independently. Scale without losing control end to end traceability and runtime enforcement across delegation chains.