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.

use-cases/claude-code-plugin/commands/search.md

@@ -0,0 +1,17 @@
+---
+description: Search EverMem for relevant memories from past sessions
+arguments:
+  - name: query
+    description: The search query to find relevant memories
+    required: true
+---
+
+Search EverMem Cloud for memories matching the user's query.
+
+Run this command to search:
+
+```bash
+node "${CLAUDE_PLUGIN_ROOT}/commands/scripts/search-memories.js" "$ARGUMENTS"
+```
+
+After the search completes, summarize the key findings for the user. Highlight the most relevant memories and explain how they might be useful for their current work.