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.
22 lines
646 B
Markdown
22 lines
646 B
Markdown
---
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description: Open the EverMem Memory Hub to view statistics, search memories, and explore timeline
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---
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When the user runs this command:
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1. First, start the proxy server in the background using the Bash tool:
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```bash
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node "${CLAUDE_PLUGIN_ROOT}/server/proxy.js" &
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```
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2. Then, construct the Memory Hub URL with the actual API key using Bash:
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```bash
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echo "http://localhost:3456/?key=${EVERMEM_API_KEY}"
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```
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3. Share a simple message with the user like:
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"Memory Hub server started. Open this URL to view your memories:
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[the URL from step 2]"
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Do NOT show the bash commands or code blocks to the user. Just run them and share the final URL.
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