Currently running OpenClaw (latest build) on a dedicated Mac Mini M4 (16GB RAM) as my production AI environment for business operations. Main setup right now: • GPT-5.5 via OAuth • Telegram as the primary interface • Mission Control dashboards • Memory + workflow routing • Business assistant handling real operational tasks daily Now I’m looking into installing Hermes Agent alongside it — not to replace OpenClaw, but to run both frameworks side by side as a long-term comparison experiment. The goal is to test both systems against the same real-world workloads over time and see which architecture performs better for stability, scalability, memory handling, and autonomous workflows. Current plan: • Keep OpenClaw as the production environment • Run Hermes as a sandbox / experimental layer • Build a portable “brain” structure (prompts, memory, workflows, rules) that can eventually plug into either framework • Compare both over months instead of making emotional decisions early Questions for anyone who has experience with both: What’s the cleanest way to structure directories/workspaces so they don’t conflict? Can Hermes authenticate through ChatGPT OAuth, or is it API-key only? Any major performance or memory issues running both on a 16GB Mac Mini? If you switched from OpenClaw → Hermes (or vice versa), what specifically made you switch? Any good strategies for migrating memory/context between frameworks cleanly? Not looking for “this one is better.” I’d rather run the experiment myself and evaluate based on real production usage. Mainly trying to avoid obvious architecture mistakes before I scale deeper. Would appreciate insights from people actually building with these systems. submitted by /u/Hpsupreme
Originally posted by u/Hpsupreme on r/ClaudeCode
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