Building a Multi-Agent Team with Hermes Agent + ChatGPT 5.6 Sol (Bootcamp Ep2)

Build a real multi-agent team in Hermes Agent with isolated profiles, clear authority, scheduled jobs, shared reporting, and practical approval gates. This is Episode 2 of the free four-part Hermes Agent Boot Camp. We move beyond a single assistant and build the foundation of an AI organization with a chief of staff, research head, engineering head, and operations head. We break down the difference between persistent agent profiles, temporary subagents, and asynchronous background work. Then we configure isolated memory, tools, skills, models, gateways, scheduled jobs, delivery channels, and a shared organizational board. The build is not perfectly linear, and that is the point. We troubleshoot gateway issues, test profile separation, refine reporting formats, debate whether an operations head is necessary, and collaborate with Yoda to settle on a cleaner structure. The final architecture uses one executive front door for the human while preserving a separate operations layer for routing, accountability, handoffs, evidence, and close-the-loop auditing. ⏱️ TIMESTAMPS: 0:00:00 - Welcome to Hermes Agent Boot Camp Episode 2 0:21:15 - GPT-5.6 Sol and Grok 4.5 cost discussion 0:32:38 - Agents vs subagents vs background tasks 0:34:06 - Designing the team around department heads 0:37:33 - Approval gates and safe agent autonomy 0:39:37 - Defining the operations head 0:42:25 - Smart approval gates and team provisioning 0:54:03 - Profiles, isolated memory, and the shared board 1:02:08 - Yoda as the executive front door 1:05:11 - Why the operations head still matters 1:08:20 - Reporting rules and delivery architecture 1:13:15 - Authority contracts and department reporting 1:14:03 - Why you should stagger scheduled agent jobs 1:17:03 - Open-source agents vs closed desktop apps 1:21:19 - Smoke testing the team and Agent Atlas WHAT WE BUILD: → Persistent department-head profiles with isolated identities and memory → A chief-of-staff interface for requests, decisions, and governance → A back-office operations layer for routing and accountability → Shared Telegram and Discord delivery destinations → Department-specific scheduled jobs and reporting rules → A shared board for ownership, blockers, evidence, and handoffs → Approval gates that preserve autonomy without allowing unsafe actions → Cleaner reports with verdicts, bullets, owners, and next actions KEY LESSONS: → Build around heads of function, not a pile of disconnected agents → Give durable roles their own profiles, memory, sessions, and authority → Use subagents for bounded specialist work that returns to an accountable parent → Treat background execution as transport, not ownership → Keep one executive front door to avoid conflicting conversations → Let operations own flow and assurance, not research or engineering → Use shared destinations, but never share bot tokens → Stagger scheduled jobs by 15 to 30 minutes as your system grows → Review agent plans before approval instead of blindly accepting them This is a build-in-public demonstration, so you will see the debugging, uncertainty, and decisions that happen while creating a real agent system. We're all learning as we go, right? 💬 What department would you add next: marketing, creative, product, finance, or something completely different? Join our Discord and follow Clearmud: https://clearmud.link Making AI simple and easy to use. For businesses, entrepreneurs, and creatives. #HermesAgent #AIAgents #MultiAgentSystems #AIAutomation #OpenClaw #GPT5 #AgentOrchestration #SelfHostedAI #VibeCoding #Clearmud