#318 · Primary category: AI Agents & Automation

solace-agent-mesh

a2a agentframework agentic agentic-ai agentic-framework agentic-workflow agenticai agents ai ai-agents aiagentframework aiframework enterprise event-driven-architecture framework mcp multi-agent multi-agent-systems multiagent rag

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

Project last updated:08/28/26

GitHub Stars

5.0K

Forks

270

Contributors

54

License

Apache-2.0

Why we included this project

Coordinating several AI agents that each need their own tools and data access is often harder than building the agents themselves. Solace Agent Mesh tackles that by letting you define agents with distinct roles and skills, then a lightweight orchestrator splits complex requests into steps and hands each one to the right peer over the Solace event messaging platform. Because agents communicate through events rather than direct calls, they stay decoupled and easier to scale across distributed infrastructure, and the framework handles delegation and data sharing for you. It builds on Google's Agent Development Kit for the agent logic and tool execution, with built-in connectors for REST, web UI, and Slack, so wiring it into existing systems takes minimal custom code. If you are running multiple specialized agents that need to pass data and artifacts around an enterprise, this is a solid candidate to evaluate before rolling your own orchestration layer.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category