Paul

The 'Super Self-Improving Multi-Agent Framework' for your Hermes or OpenClaw agent. The article below outlines how Hermes can watch over your Openclaw agent, so this example uses Hermes as the main agent. This idea is interchangeable based on preference. How it works: Agent 1 (Hermes) - The main agent: who operates your workflows, and who you have in the top hierarchy of agents. For simplicity, it also runs the workflows using its persistent memory and self-improving skills. Agent 2 (Hermes) - Main's Supervisor agent: who monitors the entire system, reading operations and failure logs, searches for bugs, solutions, then brings them to... Agent 3 (OpenClaw) - External Supervisor agent: who also monitors the Hermes system, and searches for issues and solutions. Multiple times per day, Agent 2 audits the system, finds errors, stale jobs, etc, proposes a fix, then tags Agent 3. Agent 3 audits the system, reads Agent 2's summary, and verifies the problem and solution. Together, they go back and forth in a dedicated channel until they find a coded solution to the problem. If it's a low-risk fix, it auto-fixes it. If it's high-risk, it's raised to Agent 1 for approval via the owner (me). The first goal is never to have to worry that the system is operating correctly. The second goal is to have two separate agents focused on recommending improvements to the system. Ideally, there are no bugs to fix, and you can have them focus on making meaningful improvements to your workflows over time. This is the basic workflow for monitoring, but you can extrapolate this framework to many more use cases. What's [redacted]? I'm cooking up something to continue working toward my goal of building more sentience in my agents. I will share more soon. Let me know in the comments if this works for you. I'll create a fleshed-out article if you are interested.