OpenClaw + Hermes Multi-Agent: Supervisor, Monitor, and Shared Memory

Key Takeaways

• Supervisor-builder saves 60–80% on token costs. Have OpenClaw (Opus 4.6, expensive) write a plan → hand the plan to Hermes (cheaper model, e.g., ChatGPT OAuth) for execution → OpenClaw reviews the output. The expensive model only handles planning and review, not the heavy lifting of implementation.
• Mutual recovery eliminates single points of failure. When you upgrade OpenClaw and it breaks, your Hermes agent can diagnose and fix it (and vice versa). Alex went from ~1 hour of downtime per OpenClaw upgrade to literally seconds. The agents know each other's codebases and can fix errors autonomously.
• Use ChatGPT OAuth for Hermes to keep costs low. Since Hermes is the monitoring and execution agent (not the planning agent), it doesn't need Opus-level intelligence. A $20/month ChatGPT plan plugged into Hermes via OAuth handles monitoring and lighter execution tasks fine.
• Shared Obsidian memory enables recursive self-improvement. Both agents read and write to a shared /agent-shared/ folder in Obsidian. Decisions, mistakes, lessons, and working context flow between both agents — so when one gets smarter, the knowledge propagates to the other. Two agents improving each other beats either agent improving alone.
• Hermes cron monitoring is cheaper than OpenClaw cron monitoring. Because Hermes is lighter-weight and cheaper per token, you can afford to have it check in on OpenClaw's work every 2 hours, run scanner health checks, and alert you when something breaks — frequency that would be cost-prohibitive with Opus.

The Four Workflows

1. Backup and Mutual Recovery

The simplest and most immediately valuable workflow. When OpenClaw breaks during an update (it happens frequently — the open-source community moves fast), ask Hermes to diagnose and fix it. Share the error message and let Hermes read the OpenClaw config files. The fix typically takes seconds to minutes instead of the hour it used to take manually.

This works bidirectionally — OpenClaw can also fix Hermes issues. The key is that both agents have read access to each other's configuration directories and understand each other's codebases.

2. Supervisor-Builder Pattern

For any non-trivial build task: (1) Ask OpenClaw (Opus) to generate a detailed plan — it produces a markdown plan file with architecture decisions, step-by-step implementation, and success criteria. (2) Hand the plan to Hermes with "here's the plan, go build it." (3) When Hermes finishes, ask OpenClaw to review the output and flag improvements.

Alex demos this live by asking OpenClaw to plan a scanner dashboard (Next.js, showing scanner status and last-run times). OpenClaw produces a 256-line plan. Hermes builds a fully functional dashboard with click-through detail pages from that plan alone. OpenClaw reviews and rates it "solid work, clean and well-structured" with specific improvement notes.

3. Hermes Cron Monitoring

Schedule Hermes (which has cheaper per-token costs) to run cron jobs that check on OpenClaw's autonomous work. Examples: check scanner health every 2 hours, verify that automated posts went out, confirm that scheduled tasks completed. Alert you via Telegram when something fails. This gives you operational visibility into OpenClaw without paying Opus rates for monitoring.

4. Shared Obsidian Memory Workspace

Structure your Obsidian vault with three folders: /agent-openclaw/, /agent-hermes/, and /agent-shared/. Individual agent folders hold their own daily logs, working context, and mistakes. The shared folder holds decisions both agents should know about — business decisions, project plans, key lessons. Both agents check the shared folder at the start of relevant tasks and write to it when they learn something that affects both.

This is free to set up and creates genuine recursive improvement: the more work flows through the system, the smarter both agents get at your specific use cases.

Model Recommendations

Alex's current setup (April 2026): OpenClaw runs on Opus 4.6 via API — the most capable model for complex planning and review. Hermes runs on ChatGPT via OAuth from an existing $20/month plan — adequate for monitoring, execution from plans, and lighter tasks. If you can't afford Opus API for both, reserve it for OpenClaw and use a cheaper model for Hermes.

Related on OpenClawDatabase

• OpenClaw Guide — full OpenClaw setup, skills, and configuration reference
• Hermes Agent Guide — setup, memory, tasks, and MCP tools
• Hermes as Brain, OpenClaw as Arms — Craig Hewitt's take on the same architecture with VPS deployment