by monaccode · MCP Server · ★ 28
Multi-model AI agent runtime. Define agents in YAML, connect 6 LLM providers, orchestrate with ReAct/Plan&Execute/Fan-Out/Pipeline/Supervisor/Swarm patterns, and deploy as REST/WebSocket API with RAG, memory, MCP tools, guardrails, and OpenTelemetry observability.
| Stars | 28 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 33.8/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-22 |
| Created | 2026-03-06 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~175k |
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astromesh is Multi-model AI agent runtime. Define agents in YAML, connect 6 LLM providers, orchestrate with ReAct/Plan&Execute/Fan-Out/Pipeline/Supervisor/Swarm patterns, and deploy as REST/WebSocket API with R. It is categorized as a MCP Server with 28 GitHub stars.
astromesh is primarily written in Python. It covers topics such as agent-framework, agent-orchestration, agent-runtime.
You can find installation instructions and usage details in the astromesh GitHub repository at github.com/monaccode/astromesh. The project has 28 stars and 8 forks, indicating an active community.
astromesh is released under the Apache-2.0 license, making it free to use and modify according to the license terms.