Files
Elliot Chen 518b8eca85 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.
2026-06-06 07:33:17 +08:00

533 B

description, arguments
description arguments
Search EverMem for relevant memories from past sessions
name description required
query The search query to find relevant memories true

Search EverMem Cloud for memories matching the user's query.

Run this command to search:

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.