monaccode/astromesh

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.

41
/ 100
Emerging

This platform helps developers build and manage AI agents that can perform complex tasks, similar to how Kubernetes manages applications. You provide configurations for agents in YAML, defining their behaviors, tools, and how they interact with large language models. The platform then runs these agents, handling everything from routing requests to different AI models to managing their memory and access to external tools. It's designed for developers and AI engineers who need to deploy and orchestrate sophisticated AI agent systems.

Use this if you are an AI engineer or developer building and deploying multi-model AI agent applications and need a standardized, scalable runtime.

Not ideal if you are a non-technical end-user looking for a ready-to-use AI tool or application.

AI-agent-development LLM-ops MLOps API-development system-orchestration
No Package No Dependents
Maintenance 13 / 25
Adoption 6 / 25
Maturity 11 / 25
Community 11 / 25

How are scores calculated?

Stars

22

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Mar 18, 2026

Commits (30d)

0

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