518b8eca85
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.
18 lines
533 B
Markdown
18 lines
533 B
Markdown
---
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description: Search EverMem for relevant memories from past sessions
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arguments:
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- name: query
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description: The search query to find relevant memories
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required: true
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---
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Search EverMem Cloud for memories matching the user's query.
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Run this command to search:
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```bash
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node "${CLAUDE_PLUGIN_ROOT}/commands/scripts/search-memories.js" "$ARGUMENTS"
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```
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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.
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