As enterprises speed their AI deployment, they will face an explosion of agents across teams, platforms, and vendors. While this increase has enormous promise, it also adds a new type of fragmentation: agent sprawl, which creates disjointed workflows, duplicate automations, and compliance blind spots.
Without the proper foundation, unmanaged agents risk causing chaos rather than increasing productivity, making it more difficult to regulate data, enforce security, and provide consistent customer and employee experiences at scale.
That’s why Salesforce unveiled MuleSoft Agent Fabric, a new solution for transforming unmanaged AI agents into a safe and intelligent network. MuleSoft Agent Fabric provides a single location for registering, orchestrating, governing, and monitoring all agents, regardless of where they were constructed.
Let’s look at how MuleSoft Agent Fabric works, what problem it seeks to answer, and what implications it has for the Salesforce ecosystem.
Salesforce, of course, claims that Agentforce provides users with a full platform for developing and deploying autonomous AI agents.
MuleSoft Agent Fabric extends Agentforce to orchestrate with third-party agents that do not interact through Agentforce, allowing users to oversee their broad ecosystem of agents through four major capabilities:
‣ MuleSoft Agent Registry: A central catalog in which every AI agent or tool, including MCP and A2A servers, can be registered and made discoverable by developers or other agents, making every AI asset simple to locate, reuse, and integrate into workflows.
‣ MuleSoft Agent Broker: Powered by your preferred LLM and linked by A2A and MCP, is an intelligent routing solution that groups agents and tools into business-focused domains and dynamically routes tasks between them.
‣ MuleSoft Agent Governance: Provides enterprise-grade guardrails that apply security, compliance, and policy controls to every agent contact, allowing enterprises to securely grow AI adoption while ensuring that every activity is consistent, secure, and in line with enterprise and regulatory requirements.
‣ MuleSoft Agent Visualizer: This provides IT teams with a dynamic map of their agent ecosystem, displaying how agents connect, interact, and perform.
Architects can use MuleSoft Agent Visualizer to view a map of their agent network. Visualizer gives real-time insights into agent interactions, decision processes, and dependencies, allowing teams to optimise performance across multi-agent ecosystems.
MuleSoft Agent Broker, which enables teams to organize agents and MCP servers into business-specific domains. The Broker can explore various domains and assign tasks to the most appropriate agents and technologies to swiftly and accurately resolve incoming prompts.
MuleSoft Agent Registry will become generally available (GA) in October 2025. Agent Broker’s beta version is now available, with a general availability date of October 2025. Agent Governance (Flex Gateway for MCP/A2A) is now available. Agent Visualizer will become generally available in October 2025.
Also Read: Everything You Need to Know About The Salesforce API Integration
Salesforce expects that MuleSoft Agent Fabric, by offering a centralized location for orchestrating and governing agents, would enable AI to address complex, multi-step business problems across sectors.
The cloud giant presented one example: a mortgage application. Salesforce claims that MuleSoft Agent Fabric may be used to “securely orchestrate” the various components of the mortgage application process.
Salesforce claims that a “Mortgage Assistant” agent powered by Agentforce and embedded in a banking platform can use the MuleSoft Agent Broker to “intelligently route a single customer inquiry across siloed SaaS and homegrown agents”.
Agentforce will collect the customer’s information and work with an external Credit Check Agent to do real-time credit checks, a DocuSign IAM Agent to ensure secure document signatures, and a homegrown Compliance Agent to enforce regulatory standards.
The MuleSoft Agent Registry enables any specialized agent to be easily discoverable for Agentforce, while MuleSoft Agent Governance ensures that every external agent interaction is secure and auditable, according to Salesforce.
The goal is to create a coordinated workflow that prevents important handoffs from failing, resulting in fewer delays, errors, and substantial compliance concerns.
Salesforce gives further examples of use cases for the new features, including:
Real-Time Supply Chain Logistics: For example, an “Operations Agent” receives a notification about a potential shipment delay and uses the MuleSoft Agent Broker to coordinate with a logistics partner’s “Fleet Agent” to re-route a delivery, whereas a “SAP Agent” updates inventory in real-time; then, a separate “Quality Control Agent” flags any potential warehouse issues.
Manage a complex onboarding process: For example, by using a “Partner Portal Agent” with the MuleSoft Agent Broker to coordinate with multiple backend systems, routing requests to a “Sales Agent” to assign a new partner ID, to a homegrown “IT Agent” for system access, and to a “Knowledge Agent” to display relevant articles and training.
As AI usage grows, agents expand across teams, platforms, and vendors, introducing a new type of fragmentation – what Salesforce refers to as “agent sprawl”.
The company claims that without the proper foundation, unmanaged agents risk “creating chaos” rather than increasing productivity, making it more difficult to regulate data, enforce security, and deliver consistent customer and employee experiences at scale.
Salesforce claims that MuleSoft Agent Fabric can address “agent sprawl” by converting unmanaged AI agents into a safe and intelligent network.
Salesforce said in a statement
MuleSoft Agent Fabric provides a centralized location to register, coordinate, regulate, and view all agents, regardless of where they were developed.
“Much like an air traffic controller ensures that planes from various airlines safely take off, land, and share airspace, MuleSoft Agent Fabric serves as the backbone that connects and coordinates an enterprise’s disparate digital workforce, transforming chaos into cohesion and fragmented agents into a trusted, high-performing network.
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