chore: initialize EverOS 1.0.0

md-first memory extraction framework for AI agents.

Markdown is the single source of truth; SQLite holds state and LanceDB
provides the rebuildable vector + BM25 + scalar index. The codebase follows
a single-direction DDD layering (entrypoints -> service -> memory -> infra,
with component / core / config cross-cutting) enforced by import-linter.

Engineering surface:
- Coding conventions in .claude/rules/ (path-scoped) and workflows in
  .claude/skills/ (/commit, /new-branch, /pr).
- GitHub Actions CI runs make lint + test + integration; pre-commit mirrors
  the gates locally (ruff, hygiene hooks, gitlint commit-msg).
- Commit messages follow Conventional Commits, enforced by gitlint.
- make lint also enforces datetime two-zone discipline and OpenAPI drift.

.claude/rules/logging-observability.md

@@ -0,0 +1,23 @@
+---
+paths:
+  - "src/**/*.py"
+---
+
+# Logging & observability rule
+
+- **Use the project logger**, never `print` or the stdlib `logging` directly:
+  ```python
+  from everos.core.observability.logging import get_logger
+  logger = get_logger(__name__)
+  ```
+- **Structured logging** (`structlog`): pass context as keyword fields, not f-strings.
+  ```python
+  logger.info("memory.search.completed", owner_type=owner, n_results=len(items))
+  ```
+  Event name first (dotted, stable), structured kwargs after. This keeps logs
+  queryable and avoids leaking interpolated PII into the message string.
+- **Levels**: `debug` for developer detail, `info` for lifecycle milestones,
+  `warning` for recoverable anomalies, `error` for failures with a stack/context.
+- **Metrics** go through `core.observability.metrics` (Prometheus); don't invent
+  ad-hoc counters. Histograms/counters/gauges have registry helpers.
+- Don't log secrets, API keys, or full memory content at `info`/above.