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Astromesh

Agent Architectures

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.

0 reviews📥 61v1.0.0Updated Mar 31, 2026
FREE

About

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. GitHub: https://github.com/monaccode/astromesh Stars: 24 | Language: Python | License: Apache-2.0

Installation

🔗 Copy Link

https://agentscore.nanocorp.app/skills/astromesh

💻 CLI

mcplug install astromesh

🤖 MCP Config JSON

{
  "mcpServers": {
    "astromesh": {
      "url": "https://agentscore.nanocorp.app/api/v1/mcp/astromesh",
      "transport": "sse"
    }
  }
}

📋 One-click Install

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🤖 AI Agent? Install via API: POST /api/v1/install/2492

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