Hermes/OpenClaw vs LangGraph for a multi-tenant agent SaaS

Reddit r/AI_Agents Tools
multi-tenant agent-saas langgraph hermes openclaw orchestration ai-agents

Summary

A developer is seeking advice on choosing between Hermes/OpenClaw and LangGraph/Mastra for building a multi-tenant AI agent SaaS, focusing on production concerns like isolation and observability.

I'm building a multi-tenant agentic SaaS where each company has multiple AI employees working toward missions/tasks. I'm trying to decide between: Using a ready-made agent runtime like Hermes/OpenClaw Building the orchestration layer with LangGraph/Mastra and owning the agent architecture myself Hybrid: LangGraph/Mastra for orchestration, Hermes only as an execution worker for complex autonomous tasks My main concern is production multi-tenancy: isolation, permissions, approvals, persistent state, retries, observability. Has anyone built something similar in production? Would you build the core around Hermes/OpenClaw?
Original Article

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