What is Solace Agent Mesh


Solace Agent Mesh helps you build agentic applications that will actually work for your enterprise.

Why Agent Mesh is the Best Way to 
Embrace Agentic AI

Easy to Experiment

Agent Mesh makes it easy to turn business intent into working agentic AI systems without forcing subject matter experts to become developers, or vice versa.

Open and Agnostic

Agent Mesh is built on an open-source core and vendor-neutral, so you’ll never find yourself locked in to a single AI ecosystem or cloud environment.

Production-Ready

Unlike lightweight open source frameworks, Agent Mesh is production-grade and ready to run the most demanding enterprise deployments.

Build and Manage Agents

Let business users create agents without a line of code, while giving your developers the power to code sophisticated agents. Then easily deploy them to production, and manage them alongside your existing agents, all in one place.

Give Your Agents Context

Real-time data and application connectors, complimented by intelligent data management capabilities, ensure your your agents always have the latest information so they can do their thing hallucination-free.

Secure Your Data

Feed every agent exactly and only the information they need thanks to the fine-grained filtering and state-of-the-art security we’re famous for, with sophisticated role-based access controls and delegation.

Optimize Your Agents’ Activity

See what’s working well—and what you can do to make your agents even more effective—by monitoring the activity of your agents and the interactions between them in real-time with an intuitive visual interface.

Use Cases

Autonomous Customer Support

Problem: Ballooning ticket volumes, inconsistent responses, and frustrated customers waiting in queues.

With Agent Mesh: Give agents access to real-time context and escalation rules so you can resolve routine issues instantly and route complex ones intelligently.

Benefit: Lower service costs, faster resolution times, and consistent, high-quality customer experiences.

Predictive Maintenance Operations

Problem: Reactive "when it breaks" maintenance can cause costly downtime.

With Agent Mesh: Feed agents live sensor data and let them proactively schedule repairs so maintenance evolves from response to optimization.

Benefit: Reduced parts and labor costs, longer asset lifespan, and more efficient production with fewer unexpected outages.

Intelligent Supply Chain Orchestration

Problem: Supply chains span companies and the world, but rely on static plans and human coordination.

With Agent Mesh: Orchestrate agents that negotiate, plan, and adapt in real time so you can dynamically balance supply, demand, and logistics constraints.

Benefit: Leaner inventories, lower freight spend, and higher on-time delivery rates.

Personalized Marketing & Sales Agents

Problem: Marketing teams drown in data but still deliver one-size-fits-all campaigns that rarely convert.

With Agent Mesh: Create agents that analyze live behavior, generate adaptive content, and autonomously test offers across channels to find what resonates.

Benefit: Higher conversions, lower acquisition costs, and personalized experiences that keep customers coming back.

Workforce Productivity Assistants

Problem: Knowledge workers waste hours hunting for data, toggling between apps, and performing manual follow-ups.

With Agent Mesh: Let your people embed AI coworkers within their productivity tools to summarize, draft, and execute repetitive steps on their behalf.

Benefit: A more efficient workforce that delivers higher-quality output with fewer distractions and errors.

Components and Capabilities

Business Users can easily build their own agents without writing a line of code, while developers can code more sophisticated agents.

Lets developers code sophisticated agents to meet precise needs by writing YAML configurations.

Decomposes inputs and automatically assigns tasks to the agent or combination of agents best suited to achieving the end goals.

Preserve your previous investments in building A2A-compliant agents by orchestrating them seamlessly in Agent Mesh.

Define the system’s personality and control access to the agent ecosystem through different interfaces including Agent Mesh’s own web interface, Slack, Teams, Webhook and enterprise application APIs.

Give your agents access to real-time information housed in all kinds of enterprise data sources via MCP, REST and SQL.

Agents intelligently query and calculate data, optimizing LLM performance, accuracy and costs.

Build powerful agents with built-in and extensible capabilities like data analysis and visualization, multi-media analysis, and more.

Asynchronous communications between agents enables unmatched agent parallelization, scalability, and fault-tolerance.

Open to using 100+ LLMs so you can optimize costs and performance in your locality.

Visualize agent execution details so you can intuitively debug and optimize them.

Kubernetes-native deployment reduces operational overhead and enables unified platform management across different clouds and self-managed environments.

Beyond the Magic: Making Agentic AI Real for Enterprises

To make AI agents work in production, enterprises needs a new architecture—one built on real-time data, governance, and event-driven orchestration.

Read the Blog Post

Why EDA is Perfect for GenAI Workloads

Our Chief Engineering Officer explains why EDA is the perfect fit for the asynchronous workloads of generative AI.

Read the blog post

Adding Intelligence to EDA with AI

Our Chief AI Officer breaks down the way EDA brings AI to life, and how AI adds intelligence to your data distribution.

Read the blog post

How EDA Augments LLMs and RAG

This post breaks down explains how EDA can help you use LLMs and RAG to build smarter applications that work with live, real-time data.

Read the blog post

Agentic AI in Action: Why Real-Time Is Non-Negotiable

asdThis post breaks down explains how EDA can help you use LLMs and RAG to build smarter applications that work with live, real-time data.

Learn more

Get Started with Solace Agent Mesh

Whether you’re prototyping an AI assistant or ramping up to deploy enterprise agentic AI,
Solace Agent Mesh paves the way, so take the next step today!

See Agent Mesh in Action Get the Open Source Community Edition on GitHub