Hermes as an Operating Layer
Profiles by job, not one mega-chat — how Eric Siu runs Hermes, what it means if you’re leaving OpenClaw, and how to seat agents in GFAVIP chat rooms
← AI Agents · Eric Siu skills · Company Brain · OpenClaw · Knowledge base · GFAVIP Webchat · Computer use + Hermes
Source & credit
Primary thread from Eric Siu (@ericosiu) — x.com/i/status/2081422796174000271 (“Hermes is INSANE as an operating layer for your business…”).
Full long-form (8-level ladder, model-swapping, artifacts → skills → crons → multiplayer → governance → company brain): x.com/i/status/2080777068757819675 / X Article. Video breakdown he points to: YouTube.
Related on this site: Eric’s top 10 marketing skills, Company Brain talk notes, open-source Nous Research Hermes Agent (the framework people compare to OpenClaw).
Name collision: which “Hermes”?
| Name | What it is | On this site |
|---|---|---|
| Hermes Agent (Nous Research) | Open-source agent runtime: profiles, skills, memory, reflective “learn” loops; often discussed as an OpenClaw alternative / successor path. | This page + Eric’s operating-layer posts |
| Hermes / Dewey (Orgo demo) | Nick Vasilescu’s “AI employee” product in a computer-use demo (bot installs itself into Slack on a cloud desktop). | Computer use (Orgo + Hermes) |
Same word, different products. When the team says “switch from OpenClaw to Hermes,” they almost always mean Nous Hermes Agent as the runtime/operating layer — not the Orgo computer-use demo.
The punchline (Eric’s short version)
If you’re using Hermes like ChatGPT, you’re probably leaving ~90% of the value on the table.
First move he recommends: separate profiles by job, not one infinite thread.
Thinking profile
Stronger model. Strategy, planning, pushback. Job is to argue and improve the system — not just complete tasks.
Execution profile
Writing, editing, research, task completion. Cheaper / faster models fine. Loads playbooks + voice, not full strategy brain.
Workflow profile(s)
One specific loop: CRO, content, sales, SEO, recruiting. Maps 1:1 to a skill pack and a chat room.
Default rule he gives every profile:
Don’t just answer me. Rate the idea. Push back. Tell me what’s missing. Help me improve the system. That matches our knowledge base rule (slice per worker + rulings) and single brain specialists — not one omniscient intern.
The 8-level ladder (long-form distilled)
Eric’s frame: the model is the easy part (swap Opus / ChatGPT / local whenever). The thing that compounds is the system around it. Ladder from the article:
| Level | What it is | Our stack parallel |
|---|---|---|
| 1–2 | Q&A and one-off tasks (don’t stop here) | Chat in any tool |
| 3 | Artifacts — PDFs, HTML, diagrams the team reuses | Published notes, HEOS docs, deck/one-pagers |
| 4 | Skills — saved processes with “done” evals | ai-marketing-skills, Claude skills |
| 5 | Crons — scheduled jobs that report + offer to act | OpenClaw/Hermes cron, HEOS morning briefings |
| 6 | Multiplayer + connected data — team sees each other’s questions | GFAVIP Webchat rooms + connectors |
| 7 | Governance — read / draft / send tiers | Blast-radius rules from KB guide |
| 8 | Company brain — decisions + lessons that persist | Company Brain, Obsidian/HEOS memory, Dreaming |
Flow he uses: context → artifact → skill → loop. Example habits: walk-and-dump via voice → Hermes sorts into next steps;
/learn when something works; “Grill Me” style skills that push back; skill packs by role in a dojo so new hires get the right set on day one.
OpenClaw → Hermes: should the team switch?
You’ve invested heavily in OpenClaw (Mac Minis, sessions, Telegram/Slack-style channels, GFAVIP agents notes). Hermes (Nous) is the framework many operators compare when they want a stronger “do → learn → improve” loop and profile discipline.
| OpenClaw (what you already run) | Hermes Agent (operating-layer bet) | |
|---|---|---|
| Strength | Gateway + many messaging channels; fleet on existing hardware; deep site docs | Profiles by job, reflective skill generation, model-agnostic swap without rebuild |
| Risk | Security/hardening debt if gateway is exposed; “one bot does everything” drift | Migration cost; still need governance + vault; not magic without skills/memory |
| Keep either way | Markdown knowledge vault, decision/rulings log, role rooms, human gates on send/spend | |
Practical recommendation for GFAVIP / Headless Empire:
- Don’t big-bang replace every OpenClaw instance tomorrow. Pick one high-pain lane (content, SEO, or ops briefing) and run it as a Hermes-style profile stack.
- Migrate the system, not just the binary: identity files, skills, crons, vault slices. OpenClaw→Hermes installers often offer config migration — still re-check permissions.
- Keep OpenClaw where it’s already stable (always-on Mini fleet, niche channel bots) until the Hermes lane proves cheaper/better on evals.
- Win condition is multiplayer + memory, not “we installed Hermes.” If agents don’t post artifacts into GFAVIP rooms and write rulings, you’re still at Level 1–2.
See also: OpenClaw setup, architecture, session scoping, IronClaw (security-oriented alternative), GFAVIP AI agents.
Decision: 1 agent per person vs 1 agent per job role?
Short answer for our team: role-first (job / lane agents), person-second (optional light chief-of-staff). Not “one mega-agent,” and not “full company brain cloned for every human.”
Recommend: one agent (or profile pack) per job role
- Matches Eric: thinking / execution / workflow profiles; skills packed by role in the dojo.
- Matches our KB guide: hand each worker only its slice (voice → writer, client → outreach).
- Shared quality: one SEO agent improves for everyone; ten personal SEO clones drift ten ways.
- GFAVIP rooms work cleanly: room = function; agent is a named member of that room.
- Cost & security: fewer high-privilege identities; blast radius scoped to role tools.
Optional: one personal “chief of staff” per person
- Private triage: calendar, notes, “what should I do today,” meeting prep.
- Low tool permissions; no send to customers; no shared company secrets beyond that person’s scope.
- Does not replace the content / ops / finance role agents — it routes humans into those rooms.
- Pairs with Chief of Staff agent patterns and HEOS TODAY/WEEK.
Avoid
- One super-agent for everything — confident wrong answers, no reviewer separation, un-debuggable context.
- Full Hermes clone per teammate with full CRM + send rights — expensive, inconsistent rulings, hard to audit.
- Agent-only rooms with no human owner — every role agent needs a human DRI who reviews gates.
Worked example (GFAVIP-style roster)
| Agent / profile | Job | GFAVIP room (example) | Humans who live there |
|---|---|---|---|
| Thinking / Strategy | Rate ideas 1–100, push back, system design | #strategy or leadership room | Founders / leads |
| Content | Drafts, packaging, quality gate | #content | Content owners + reviewers |
| SEO / AEO | Briefs, gaps, IndexNow-style ops | #seo | SEO DRI |
| Outbound / GTM | Research + drafts only; never auto-send | #outreach | Sales / partnerships |
| Ops / Projects | Standups, blockers, backlog hygiene | #ops or project rooms | Ops + PMs |
| Personal CoS (optional) | Private prioritization | DM or #me-* | That person only |
Skills from
Eric’s marketing list
map onto workflow profiles: content-ops, seo-ops, outbound-engine, etc. —
one skill pack per room agent, not every skill on every person-bot.
How agents should talk in GFAVIP chat
Platform: gfavip.com/download (desktop) / webchat.gfavip.com — our Slack replacement ( Webchat guide, why we left Slack ).
- One primary room per role agent. Agent is a first-class member (profile photo, display name = role, e.g. “GFA Content Agent”). Humans in that function join the room; others @mention or cross-post when needed.
- Pinned context = vault slice. Offer / client / voice / playbooks / rulings relevant to that lane (see knowledge base). Same idea as Eric’s pinned multiplayer context and Hermes profile identity.
- Artifacts in-channel, not only DMs. Diagrams, checklists, drafts land in the room so the team compounds (Level 3–6). Private answers die; room artifacts live.
- Gates by blast radius. Draft freely in-room. Publish, email, ads, invoices → human emoji-approve or explicit “go.” Eric’s three tiers: read → draft aggressive → external write needs sign-off.
- Cross-room only via handoff, not full context dump. Content agent posts a package; SEO agent is @’d with the artifact link — not a merge of both brains into one thread.
- Fleet room (optional).
#agent-ops: cron health, cost caps, failed jobs — humans who own the platform, not every IC. - Identity. Prefer GFAVIP-native agent accounts (and later PowerLobster / Headless SSO patterns) over shared human logins.
Eric runs multiplayer in Slack; we run multiplayer in GFAVIP. The product is different; the ladder is the same: Hermes (or OpenClaw) is the driver; connectors feed tools; memory holds lessons; permissions decide who can do what; the chat room is where the team sees it.
30-day rollout (if you’re evaluating Hermes)
- Week 1: Stand up Thinking + one Workflow profile (e.g. content). Wire vault slices + rulings. No send tools.
- Week 2: Put that agent in one GFAVIP role room. Publish artifacts only. Collect /learn notes into skills.
- Week 3: Add Execution profile + one cron (morning standup or pipeline quiet-deal scan). Human review window twice daily.
- Week 4: Eval vs OpenClaw lane: quality, cost, incident count. Only then migrate a second role.
Related on this site
Eric Siu — Top 10 marketing skills
Skill packs that map onto Hermes workflow profiles (content, SEO, outbound, CRO…).
Read →Knowledge base for agents
Offer / client / voice / playbooks / rulings — what every profile should load a slice of.
Read →GFAVIP AI Agents
Member-facing VIP agents vs internal role agents — different trust boundaries.
Read →Computer use (Orgo + Hermes)
Different Hermes (Dewey) — useful if agents must click real UIs.
Read →References
- Eric Siu — Hermes operating layer (short)
- Eric Siu — full system / 8 levels · X Article
- Video breakdown
- github.com/NousResearch/hermes-agent
- singlebrain.com · skillsdojo.com (skills marketplace he references)
- GFAVIP chat: download · webchat
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