🧲 Hermes Hook Layer — Index
Notion page
3653e622054d81c8965be74a55ea32f1· https://app.notion.com/p/3653e622054d81c8965be74a55ea32f1 Page snapshot 2026-05-19T21:41:53Z · cached 2026-08-13 Access note: this is an index page. Its two child pages (Abstract & Engineering Brief3653e622054d81a4a06ede494c7ddee5, Extended Reference3653e622054d819db3c3c44ac395165b) return 404 object_not_found to the connected Notion integration — they are not cacheable from here. Only the index below is available.
What this cluster is about
This cluster documents the event-driven, self-observing hook layer for Hermes and compatible AI toolchains (Copilot, Cloud Code, Gemini, Codex). The core idea: instrument every agent with semantic hooks that emit structured events onto a shared bus, then deploy specialised observer agents that learn from those traces and gradually reshape how the system behaves — without retraining the underlying models.
This work sits at the intersection of Multi-Agent Systems, Autonomic Computing (MAPE-K), Event-Driven Architecture, and Runtime Observability.
Pages in this cluster
🪝 Hermes Hook Layer — Abstract & Engineering Brief — not accessible (404)
https://www.notion.so/3653e622054d81a4a06ede494c7ddee5
The publication-ready output. Contains:
- A short academic abstract (suitable for paper introductions or proposals)
- A single engineering design paragraph (suitable for README, architecture docs, or pitch decks)
Use this page when you need to communicate the idea quickly and precisely to an academic or technical audience.
📖 Hermes Hook Layer — Extended Reference — not accessible (404)
https://www.notion.so/3653e622054d819db3c3c44ac395165b
The full reference. Contains:
- Key academic fields and positioning sentence
- Precise terminology table (instrumentation, complex events, meta-control, observational learning, etc.)
- Agent taxonomy with 8 hook-layer roles (titles, responsibilities, purposes)
- Engineering vocabulary reference (event bus, event sourcing, control plane vs. data plane, closed-loop adaptation)
- UX narrative story illustrating the user experience
Use this page when drafting design docs, writing related work sections, or onboarding collaborators.
🧠 Intent and Context Layer in Multi-Agent Autonomous Systems
Related prior work in this workspace. Covers the broader academic and practitioner landscape for intent, context, and observability in autonomous agent systems.
Use for broader academic framing and related work citations.
Key concepts at a glance
| Concept | Plain language |
|---|---|
| Hook | An instrumentation point that emits a structured event when something happens inside an agent |
| Event bus | Shared channel where all hooks publish; observer agents subscribe to it |
| Observational agent | An agent that only reads events — never acts on the world directly |
| Control plane | The layer of hook-driven agents that shapes how operational agents behave |
| MAPE-K loop | Monitor – Analyze – Plan – Execute over Knowledge: the autonomic computing cycle these agents implement |
| Closed-loop adaptation | Feeding trace-derived insights back as config/prompt/routing changes without LLM retraining |
Status (as stated on the page, May 2026)
- Abstract & Engineering Brief — ✅ Draft complete
- Extended Reference — ✅ Draft complete
- Implementation spec — 🟡 To be written
- Academic paper outline — 🟡 To be written