by SolaceLabs · MCP Server · ★ 4.9k
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Solace Agent Mesh Open-source framework for building event driven multi-agent AI systems Star ⭐️ this repo to stay updated as we ship new features and improvements. Key Features • Quickstart • Next Steps • Docs Solace Agent Mesh is a framework that supports building AI applications where multiple specialized AI agents work together to solve complex problems. It uses the event messaging of [Solace Platform](https://solac
| Stars | 4,883 |
| Forks | 262 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 49.146/100 |
| Open Issues | 68 |
| Last Updated | 2026-06-12 |
| Created | 2025-01-10 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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solace-agent-mesh is 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-s. It is categorized as a MCP Server with 4.9k GitHub stars.
solace-agent-mesh is primarily written in Python. It covers topics such as a2a, agentframework, agentic.
You can find installation instructions and usage details in the solace-agent-mesh GitHub repository at github.com/SolaceLabs/solace-agent-mesh. The project has 4.9k stars and 262 forks, indicating an active community.
solace-agent-mesh is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to solace-agent-mesh on Agent Skills Hub include voltagent, nexent, awesome_ai_agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.