About this guide

What this guide covers

The products enterprises evaluate to connect agents across clouds, SaaS platforms and internal frameworks: collaboration layers, event meshes, registries and gateways, and agent runtimes. It does not cover single-agent assistants or general AI model selection.

How we research

We read each vendor's product pages, documentation and pricing pages, and record the URL beside each fact. Where a vendor does not publish a detail, we write "Not published" or "Not confirmed" rather than estimate. Prices are list prices as shown in September 2026 and may change; check the linked source before purchase.

How we score

Table 2. Mesh fit criteria, weights and what we look for.
CriterionWeightWhat we look for
Cross-vendor interoperability22%Can agents built on other frameworks, clouds and SaaS platforms participate without being rebuilt? Protocol support (A2A, MCP), adapters, SDKs.
Coordination reliability18%Routing of work to the right agent, delivery tracking per agent, loop prevention, recovery after crashes.
Shared context14%Can agents from different vendors work from the same conversation history, task state and memory?
Human participation12%Can people observe, direct, approve and override agent work in the same place agents coordinate?
Governance built in12%Identity, RBAC, isolation, audit trail of which agent did what under whose authority.
Deployment and cross-cloud reach12%Hosting options (SaaS, self-hosted, hybrid), ability to span AWS, Azure, Google Cloud and on-prem.
Pricing transparency10%Is there a published price a buyer can model before talking to sales?
Table 3. All eleven vendors scored against the seven weighted criteria.
#VendorCategoryInteropCoordContextHumanGovDeployPriceMesh fit scoreDesignation
1BANDTop pickCollaboration layer4.94.84.74.84.03.84.84.6 / 5Top pick: cross-vendor agent collaboration
2Solace Agent MeshEvent mesh4.34.33.83.04.24.63.24.0 / 5Best for event-driven agent infrastructure
3IBM watsonx OrchestrateRegistry and gateway4.13.93.53.34.44.24.23.9 / 5Best for supervisor-style orchestration with published pricing
4Amazon Bedrock AgentCoreAgent runtime4.03.53.62.24.53.04.63.6 / 5Best agent runtime on AWS
5Microsoft Foundry Agent ServiceAgent runtime3.93.83.43.54.62.82.83.6 / 5Best agent runtime on Azure and Microsoft 365
6Google Gemini EnterpriseAgent platform3.43.43.54.04.42.64.23.6 / 5Best employee agent hub on Google Cloud
7Salesforce AgentforceAgent platform3.23.83.83.84.32.34.03.6 / 5Best for CRM-centric agents
8MuleSoft Agent FabricRegistry and gateway4.23.63.02.24.63.52.53.5 / 5Best agent registry for MuleSoft estates
9ServiceNow AI Control TowerRegistry and gateway3.83.33.23.04.72.52.03.3 / 5Best for AI asset inventory in ServiceNow
10Solo.io agentgatewayRegistry and gateway3.93.02.01.54.34.53.53.3 / 5Best open-source agent gateway
11Kong Agent GatewayRegistry and gateway3.83.02.01.54.64.82.03.2 / 5Best for API-gateway-led agent traffic policy

Mesh fit score (editorial assessment, 0-5). Measures fit for connecting and coordinating agents across vendors. It is not a measure of overall product quality: gateways and runtimes score lower here because they solve a different layer of the problem and are usually deployed alongside a collaboration layer.

Each criterion is rated 0 to 5 by the editorial team, then weighted to give the mesh fit score. The score measures fit for one job, connecting and coordinating agents across vendors. Products built for other layers, such as gateways and runtimes, score lower on this rubric even when they are strong at their own job.

Review schedule and corrections

Vendor profiles show their review date. We re-check prices and protocol support when vendors announce changes. To report an error, use the contact page; include the page and the source that shows the correct information.

Analyst statistics

Statistics attributed to Gartner are quoted from Gartner's public press releases and articles, linked where they appear. This guide is not affiliated with Gartner.

Trademarks

Product names belong to their owners. Mentions do not imply endorsement by those owners.