Hermes vs. OpenClaw: Which AI Agent I Kept After Six Months

Summary

Dhawal Shah compares six months of running two self-hosted, open-source AI agents: Nora on Hermes Agent and Alex on OpenClaw. Based on his own logs and production use, he keeps Hermes as his daily assistant because it was easier to maintain, became useful faster, and ran on a smaller, cheaper server. OpenClaw remains useful for a narrower project-manager role, especially when a large skills marketplace, many messaging channels, or tight manual control over multiple agents matter more than low upkeep. The comparison is based on one operator's experience rather than a controlled evaluation. Hermes took about 90 minutes to set up after the author already understood the server and Telegram stack, while his first OpenClaw installation took about two hours and required more debugging. His Hermes server costs about US$5 per month on Hetzner, compared with about US$7.50 for OpenClaw, while model usage is the larger shared expense. Hermes initially handled memory better and learned reusable skills from repeated work, but its global memory is limited to 2,200 characters, so the author added topic files with pointers in the global memory. OpenClaw mainly relies on installed or manually written skills. Both systems failed in practice: OpenClaw repeatedly suffered installation, health-check, update, and context problems, while Hermes once archived 57 of 82 skills after a model change to OpenAI Codex, disabling connectors used by scheduled jobs. The author now requires approval for destructive changes, pins models for background jobs, backs up configuration and memory daily, and watches behavior for a week after model changes. Hosted options such as xAI’s Grok Bot and OpenAI’s Dots remove server maintenance but cost more and keep data on provider-managed computers. Hermes Bots Mode and the open-source Paperclip are presented as options for coordinating multiple agents. The author’s recommendation is therefore workload-specific: Hermes for a daily personal assistant, OpenClaw for channel-rich or multi-agent control, and hosted services for users who prioritize convenience over cost and control.