plans: rev 2 — Go rewrite, ontology-first, DB-native config, learning loop

Major revision of the Docker-based homelab OS plan:

1. Go instead of Python — all services rewritten as Go binaries
   (Gin web framework, sqlc for DB access, goroutines for probes)

2. Ontology-first design — systems modeling with 3 layers:
   - Infrastructure (physical, compute, network, storage, software)
   - Governance (identity, secrets, policy)
   - Cognition (observation, decision, action, knowledge, learning)
   7 Mermaid diagrams: layer map, ER diagram, 3 lifecycle state machines,
   feedback loop, policy model

3. DB-native config — inventory.yaml/ontology.yaml/policy.yaml become
   seed manifests (bootstrap + DR). The DB is the runtime source of truth,
   editable via API. Ontology IS the DB schema (entity_types,
   relationship_types, lifecycle_defs tables).

4. Feedback loop — agent learns from execution:
   execution → outcome → feedback → pattern → skill → classification
   Patterns accumulate from execution history, skills codify proven
   procedures, classifier uses pattern confidence for auto-act decisions.
   Cold start: agent starts cautious, earns autonomy through evidence.

5. 5 migration groups: ontology meta-schema, entity instances, operations,
   learning model, policy. Recursive blast_radius SQL function.

6. Phase 0 added: ontology design before any code.
This commit is contained in:
2026-07-06 22:50:49 +02:00
parent fe54af30f6
commit d44979aca7