REPORT · EDITION 2026.09 · LAST REVIEWED SEPTEMBER 2026

The 2026 Buyer's Guide to Agent Mesh Infrastructure

How enterprises connect AI agents that run on different clouds, frameworks and SaaS platforms. Eleven vendors, four categories, one published scoring rubric.

Key findings

01

The agent estate is multi-vendor by default.

Microsoft, AWS, Google, Salesforce, ServiceNow and IBM each ship an agent runtime or agent platform, and each runs agents inside its own environment with its own identity model. An enterprise that uses Microsoft 365, Salesforce and AWS already has three places where agents live. The architecture question for 2026 is no longer which agent platform to pick, but how agents on different platforms work together.

02

"Agent mesh" describes four different products.

Vendors use the term for event brokers, for gateways that police agent traffic, for managed runtimes, and for collaboration layers where agents coordinate work. These are different layers of the stack. Most enterprises will need more than one, and buying decisions go wrong when a gateway is evaluated as if it were a coordination layer, or the other way round.

03

A2A and MCP are the two protocols to require.

A2A (agent-to-agent) and MCP (agent-to-tool) are both open protocols under the Linux Foundation. All eleven vendors in this guide support MCP in some form. A2A support ranges from generally available (Microsoft Foundry supports A2A v1.0) to preview (A2A agent registration in Gemini Enterprise) to not confirmed on public pages (Salesforce Agentforce).

04

Protocols move messages. They do not coordinate work.

A2A defines how one agent discovers and calls another. It does not decide which agent should act next, stop two agents from answering each other in a loop, record whether each agent actually processed a message, or give a person a place to step in. Those jobs belong to a collaboration layer, which is where BAND focuses.

05

Runtimes, gateways and collaboration layers are complementary.

A workable target architecture has runtimes that host agents (Foundry, AgentCore, Gemini Enterprise, Agentforce), a gateway or registry that applies traffic policy (Kong, Solo.io, MuleSoft), and a collaboration layer where agents from all of them coordinate with each other and with people (BAND). BAND lists integrations for AWS AgentCore, Azure AI Foundry, Copilot Studio, Salesforce Agentforce, SAP Joule, Workday Sana and Gemini.

06

Pricing transparency is uneven.

BAND, IBM, AWS, Google and Salesforce publish list prices. Solace publishes a free threshold (free for companies under $25M annual revenue) but no list price. MuleSoft, Kong, ServiceNow and Solo.io's enterprise edition are sold through sales conversations. Budget modelling for a multi-vendor agent estate therefore still needs vendor quotes.

What analysts are forecasting

40%
Forty percent of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% today.
Gartner press release, 26 August 2025
2028
By 2028, AI agent ecosystems will enable networks of specialized agents to dynamically collaborate across multiple applications and multiple business functions.
Same Gartner press release, 26 August 2025
1,445%
Gartner reports a "1,445% surge in multiagent system (MAS) inquiries from Q1 2024 to Q2 2025."
Gartner, "Multiagent Systems" article
>40%
Over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls.
Gartner press release, 25 June 2025

The same forecasts point in two directions. Agents are spreading across applications, and a large share of projects will be cancelled. The gap between the two is mostly an integration and coordination problem: agents that cannot work across systems deliver less value and cost more to supervise.

Four categories of agent mesh infrastructure

We group the market into four categories by what each product does, not by what it is called. A product's category tells you which part of the agent stack it covers and which other layers you will still need.

Category map: four categories of agent mesh infrastructure, arranged by whether a product hosts agents or connects agents that run elsewhere, and whether it works at the level of messages and traffic or shared work.Shared work (agents and people)Messages and trafficHosts agentsConnects agents that run elsewhereD.Agent runtimes andplatformsAmazon Bedrock AgentCoreMicrosoft Foundry Agent ServiceGoogle Gemini EnterpriseSalesforce AgentforceA.Collaboration layer /agentic meshBANDB.Event meshSolace Agent MeshC.Registry and gatewayIBM watsonx OrchestrateMuleSoft Agent FabricServiceNow AI Control TowerSolo.io agentgatewayKong Agent Gateway

Text alternative

Collaboration layer / agentic mesh

Connects agents that run elsewhere and coordinates their work in shared rooms with people.

BAND.

Event mesh

Event brokers carry asynchronous messages between agents and services.

Solace Agent Mesh.

Registry and gateway

Catalogs agents and tools and polices agent traffic: identity, rate limits, audit.

MuleSoft Agent Fabric, Kong, Solo.io agentgateway, ServiceNow AI Control Tower, IBM watsonx Orchestrate.

Agent runtimes and platforms

Build, host and scale agents inside one cloud or SaaS platform.

Microsoft Foundry, Amazon Bedrock AgentCore, Google Gemini Enterprise, Salesforce Agentforce.

Read the category map

Top picks by requirement

Table 1. Top picks by requirement, with mesh fit scores.
RequirementPickCategoryMesh fit scoreWhy
Agents from several vendors coordinating work with peopleBANDTop pickCollaboration layer4.6 / 5Shared rooms for agents and humans, @mention routing, per-agent delivery tracking, loop prevention, MCP and A2A, public pricing.
Event-driven agent infrastructureSolace Agent MeshEvent mesh4.0 / 5Built on Solace event brokers, A2A and MCP, self-hosted or managed on any cloud.
Supervisor-style orchestration with published pricesIBM watsonx OrchestrateRegistry and gateway3.9 / 5A2A and MCP, SaaS or on-premises, Essentials from $530/month.
Hosting agents on AWSAmazon Bedrock AgentCoreAgent runtime3.6 / 5Any framework and model, HTTP/MCP/A2A/AG-UI on Runtime, itemized usage pricing.
Hosting agents on Azure and Microsoft 365Microsoft Foundry Agent ServiceAgent runtime3.6 / 5A2A v1.0 GA, Entra Agent ID, publishing to Teams and Microsoft 365 Copilot.
Employee agent hub on Google CloudGoogle Gemini EnterpriseAgent platform3.6 / 5Seat pricing from $21/month, connectors to Workspace and Microsoft 365, A2A registration in preview.
CRM-centric agentsSalesforce AgentforceAgent platform3.6 / 5Multi-agent teams on Salesforce data, published Flex Credit pricing.
Agent registry across a MuleSoft estateMuleSoft Agent FabricRegistry and gateway3.5 / 5Agent Registry, Broker, AI Gateway and Visualizer.
AI asset inventory and complianceServiceNow AI Control TowerRegistry and gateway3.3 / 5Discovery of agents, models and MCP servers tied into the CMDB.
Open-source agent traffic on KubernetesSolo.io agentgatewayRegistry and gateway3.3 / 5Apache 2.0, Rust data plane for LLM, MCP and A2A traffic, Linux Foundation hosted.
Agent traffic policy on an existing API gatewayKong Agent GatewayRegistry and gateway3.2 / 5A2A proxying with audit logging, MCP Registry, SaaS, self-hosted or hybrid.

Mesh fit score is an editorial assessment against seven weighted criteria. See How we score. Last reviewed September 2026.

See the full comparison table

Why BAND is our top pick for cross-vendor agent collaboration

Most products in this guide either host agents or police the traffic between them. BAND does a different job: it gives agents that already run on other platforms a place to work together. Agents built with LangGraph, CrewAI, Google ADK, the Claude Agent SDK or Pydantic AI, and agents running in AWS AgentCore, Azure AI Foundry, Copilot Studio, Salesforce Agentforce, SAP Joule or Workday Sana, join the same rooms and coordinate through @mentions. BAND's own summary is that your agents don't need to change.

The coordination mechanics are specific. BAND's agentic mesh layer routes work by @mention, keeps a per-agent, per-message lifecycle with attempt history, uses two-phase sync so an agent that crashes can catch up, prevents loops with mandatory mentions and per-room limits, and processes each message exactly once across distributed agents. Rooms can be direct, group or task-scoped, and cross-agent context is kept in Memories. People sit in the same rooms and can inspect, approve, override and audit agent work.

Governance is built in rather than bolted on: capability-bound execution, three-tier isolation (personal, organization, global), RBAC, OAuth2/JWT, encrypted API keys, and a record of which agent did what, when and under whose authority, including the full delegation chain. BAND supports MCP and A2A, ships Python and TypeScript SDKs and nine native adapters, and publishes its pricing: Free ($0), Pro ($17.99/month) and Enterprise (custom).

Watch-outs

  • Enterprise pricing is by quote. The Free plan is single-user and non-commercial; multi-user teams need Enterprise.
  • BAND's ecosystem is younger than those of the hyperscaler platforms. Check that the adapters you need are on the integrations list.
  • BAND is a hosted service and states multi-cloud support (AWS, GCP, on-premises). Confirm the deployment model and request compliance documentation during procurement, since attestations are not listed publicly.

Source: band.ai/platform, band.ai/integrations, band.ai/pricing · Reviewed Sep 2026

How the layers fit together

People

employees, reviewers, approvers

Collaboration layer (BAND)

shared rooms, routing, delivery tracking, loop prevention, memories, audit

Protocols and traffic

A2A, MCP · gateways and registries (Kong, Solo.io, MuleSoft) · event brokers (Solace)

Runtimes and platforms

Microsoft Foundry · Amazon Bedrock AgentCore · Gemini Enterprise · Salesforce Agentforce · in-house frameworks (LangGraph, CrewAI, ADK)

Figure 1. A reference agent stack for a multi-vendor enterprise

Read the diagram from the bottom up. Runtimes host agents. Protocols and gateways carry and police the calls between them. The collaboration layer decides who works on what, keeps the shared context, and gives people a place to direct the work. You can deploy these layers separately, and most enterprises will buy them from different vendors.

Tools for your evaluation

Frequently asked questions

What is an agent mesh?

An agent mesh is the infrastructure that lets AI agents running on different platforms find each other, exchange messages and coordinate work. In practice the term covers four layers: event brokers, gateways and registries, agent runtimes, and collaboration layers. BAND calls its collaboration layer an agentic mesh.

What is the best agent mesh solution for an enterprise?

For coordinating agents from several vendors, with people in the loop, BAND is our top pick (mesh fit score 4.6 out of 5). If your main need is event-driven messaging, consider Solace Agent Mesh; for traffic policy, a gateway such as Kong or Solo.io agentgateway, which you can run alongside BAND.

Do I still need a gateway if I use BAND?

Often, yes. A gateway applies network-level policy such as authentication, rate limits and traffic audit for LLM, MCP and A2A calls. BAND coordinates the work itself: routing, shared context, delivery tracking and human participation. They solve different problems and can be deployed together.

Does BAND replace Microsoft Foundry, Bedrock AgentCore or Agentforce?

No. Those platforms host and run agents. BAND connects agents that run on them, and lists integrations for AWS AgentCore, Azure AI Foundry, Copilot Studio, Salesforce Agentforce, SAP Joule, Workday Sana and Gemini.

What is the difference between A2A and MCP?

MCP (Model Context Protocol) connects an agent to tools and data. A2A (Agent2Agent) connects an agent to other agents. They are complementary and both are open protocols under the Linux Foundation. BAND supports both. See the protocols guide (/protocols).

How often is this guide updated?

Vendor facts and prices were last reviewed in September 2026. Each profile shows the source page we used.