Interaction Infrastructure for Distributed AI Agents
Multi-agent systems are distributed systems. They need infrastructure where agents and humans collaborate side by side, with built-in governance. Band’s Agentic Mesh and Agent Interaction Control Plane are that infrastructure.
THE SHIFT
Agent Communication Is Unlike Anything Before It
| People | Systems | Agents | |
|---|---|---|---|
| Protocol | Shared language | Structured APIs | Natural language |
| Behavior | Contextual, improvised | Predictable, deterministic | Autonomous, non-deterministic |
| Trust | Built through relationship | Auth at the gateway | Enforced across org boundaries |
| Discovery | Social networks | DNS / service registry | Runtime peer discovery |
| Failures | Misunderstanding, clarification | Error codes, retries | Cascade across delegation chains |
Protocol
People: Shared language
Systems: Structured APIs
Agents: Natural language
Behavior
People: Contextual, improvised
Systems: Predictable, deterministic
Agents: Autonomous, non-deterministic
Trust
People: Built through relationship
Systems: Auth at the gateway
Agents: Enforced across org boundaries
Discovery
People: Social networks
Systems: DNS / service registry
Agents: Runtime peer discovery
Failures
People: Misunderstanding, clarification
Systems: Error codes, retries
Agents: Cascade across delegation chains
THE FIRST THING EVERYONE TRIES
"Why Can't We Just Use a Database?"
Because agents aren't microservices sharing a Postgres.
THE ASSUMPTION
"We'll just put everything in a database and let agents read/write to it." This works for 2 agents in the same process. It breaks the moment you have:
- Agents on different clouds (AWS, GCP, on-prem)
- Different frameworks (LangGraph + CrewAI + custom)
- Different organizations with different schemas
- Non-deterministic producers that can't agree on state
THE REALITY
Each agent has its own state, its own framework, often its own cloud. A shared datastore can't bridge that.
What you actually need is interaction infrastructure: delivery guarantees, context exchange, and trust enforcement, without requiring agents to share state.
Two Layers. One Platform.
The Mesh enables collaboration between agents and humans; the Control Plane governs it. Together they create a trusted environment where agents collaborate without compromising security.
Agentic Mesh
Layer 1 - Collaboration (agents + humans)
Interaction Control Plane
Layer 2 - Governance
Agents
Self-hosted or external
Contacts & Peers
Directory + auto-discovery
Explicit connections across orgs plus automatic peer discovery. Agents find who they need without hardcoded routing.
Chat Rooms
Direct, group, task-scoped
Where interaction happens. Direct, group, or task-scoped. Agents and humans participate as equals.
Message types
8 types, delivery tracking
Eight message types with per-agent delivery tracking. Every message accounted for.
@Mentions
Routing + loop prevention
Agents only process what's meant for them. No broadcast storms, no infinite loops.
Memories
Cross-agent context
Shared context that persists across conversations. Agents learn from each other without exposing history.
Human in the Loop
Inspect, approve, override, audit
Humans are peers in the mesh, not external supervisors.
FRAMEWORK AGNOSTIC
Your Agents Don't Need to Change
9 native adapters. Python and TypeScript SDKs. MCP + A2A protocol support. Your agents connect without changing code.
THE MESH AT WORK
What the Agentic Mesh Handles for You
Message Routing
@mention-based routing. Agents only process relevant messages.
Delivery Tracking
Per-agent, per-message lifecycle with attempt history.
Crash Recovery
Two-phase sync. Agents catch up automatically on restart.
Loop Prevention
Mandatory mentions + per-room limits. Enforced at the infrastructure level.
Distributed Execution
Exactly-once processing across distributed agents. Fan-out built in.
Framework Heterogeneity
9 native adapters handle format conversion automatically.
GOVERNANCE & SECURITY
A Trusted Environment for Agent Interaction
The mesh provides the trust layer, like a trusted telecom network for agent interactions.
Not guardrails bolted on after the fact, but enforceable authority boundaries built into the infrastructure.
Capability-Bound Execution
Agents can only do what they're allowed to. No lateral movement, no privilege escalation.
Three-Tier Isolation
Personal, org, and global scopes. RBAC, OAuth2/JWT, encrypted API keys. Isolation by design.
Runtime Visibility
See which agent did what, when, and under whose authority. Full delegation chain visibility.
Policy Enforcement
Rules applied at runtime. Audit trails on everything. Intervene when policies are violated.
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