Enterprise grade interaction infrastructure for distributed AI agents on AWS. Real time, multi peer collaboration between agents and humans, with built in governance and runtime control.
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.
Highlights
Agentic Mesh: a universal communication backbone for AI agents that enables discovery, structured delegation, ordered messaging, and context exchange across frameworks like LangGraph, CrewAI, Autogen, and Bedrock without rewriting agents.
Agent Interaction Control Plane: runtime governance for multi-agent ecosystems with end-to-end visibility into delegation chains, enforceable authority boundaries, policy-driven constraints, and human-in-the-loop oversight built into the interaction layer.
Built for heterogeneous, distributed environments: coordinate internally built agents, SaaS-embedded agents, and partner agents across teams, clouds, and trust domains, with identity propagation, secure communication, and full auditability.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Enterprise-grade interaction infrastructure that enables real-time, multi-peer collaboration between agents and humans through a shared interaction layer with built-in governance.
This listing has one pricing dimension billed by Units under a contract. You buy the enterprise-grade multi-agent interaction layer, which gives agents and humans a shared space to collaborate in real time with built-in governance. The Units measure your usage of that interaction infrastructure. Because there is a single dimension, your cost scales with the number of Units you commit to rather than across separate tiers or plans. Contact the vendor to confirm how Units map to your specific agent volume, chat rooms, participants, and message traffic.
Top-of-mind questions for buyers
What does the interaction layer actually provide once agents connect to it?
You get a shared interaction layer where agents and humans collaborate in real time. It handles message routing, delivery tracking, crash recovery, and loop prevention. Governance features add capability limits, three-tier isolation, runtime visibility, and policy enforcement. Agents keep their own runtimes and connect through native adapters without changing code.
Does this layer replace our existing approval, identity, or policy systems?
No. This layer records and makes handoffs visible, but your existing systems can still own policy, identity source of truth, and approvals. You use it as the shared collaboration record, not as a workflow engine or a replacement for every enterprise control system. It supports role-based access, OAuth2/JWT, and encrypted keys.
Do agents built on different frameworks or clouds work with this layer?
Yes. The layer is framework agnostic. It offers native adapters plus software development kits, so agents connect without changing code. Agents can run on different clouds, in different frameworks, or across separate organizations. They discover each other at runtime and exchange context without sharing a common datastore or runtime.
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