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.

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -0,0 +1,40 @@
+name: Feature request
+description: Suggest an improvement or new capability
+title: "[Feature]: "
+labels: ["enhancement"]
+body:
+  - type: dropdown
+    id: area
+    attributes:
+      label: Area
+      options:
+        - architecture methods
+        - benchmarks
+        - use cases
+        - developer experience
+        - documentation
+        - other
+    validations:
+      required: true
+  - type: textarea
+    id: problem
+    attributes:
+      label: Problem or opportunity
+      description: What user need, research gap, or workflow pain does this address?
+    validations:
+      required: true
+  - type: textarea
+    id: proposal
+    attributes:
+      label: Proposed solution
+      description: Describe the change you would like to see.
+    validations:
+      required: true
+  - type: textarea
+    id: alternatives
+    attributes:
+      label: Alternatives considered
+  - type: textarea
+    id: context
+    attributes:
+      label: Additional context