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.
90 lines
2.4 KiB
JavaScript
Executable File
90 lines
2.4 KiB
JavaScript
Executable File
#!/usr/bin/env node
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/**
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* Search memories from EverMem Cloud
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* Usage: node search-memories.js "query string"
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*/
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import { getConfig, isConfigured } from '../../hooks/scripts/utils/config.js';
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import { searchMemories, transformSearchResults } from '../../hooks/scripts/utils/evermem-api.js';
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const query = process.argv[2] || '';
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if (!query) {
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console.log('Usage: /evermem:search <query>');
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console.log('Example: /evermem:search "how do we handle authentication"');
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process.exit(0);
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}
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if (!isConfigured()) {
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console.log('Error: EVERMEM_API_KEY not configured');
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console.log('Set it with: export EVERMEM_API_KEY="your-key"');
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process.exit(1);
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}
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async function main() {
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try {
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const config = getConfig();
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console.log('Searching EverMem Cloud...\n');
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console.log(`Query: "${query}"`);
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console.log(`User: ${config.userId}`);
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console.log(`Group: ${config.groupId}`);
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console.log('');
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const apiResponse = await searchMemories(query, {
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topK: 10,
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retrieveMethod: 'hybrid'
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});
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// Debug: show raw API response
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console.log('--- RAW API RESPONSE ---');
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console.log(JSON.stringify(apiResponse, null, 2));
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console.log('--- END RAW RESPONSE ---\n');
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const memories = transformSearchResults(apiResponse);
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if (memories.length === 0) {
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console.log('No memories found matching your query.');
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process.exit(0);
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}
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console.log(`Found ${memories.length} memories:`);
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console.log('='.repeat(70));
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for (let i = 0; i < memories.length; i++) {
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const m = memories[i];
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const score = m.score ? `${(m.score * 100).toFixed(1)}%` : 'N/A';
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const date = new Date(m.timestamp).toLocaleDateString();
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const time = new Date(m.timestamp).toLocaleTimeString();
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console.log('');
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console.log(`${i + 1}. [Score: ${score}] ${date} ${time}`);
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console.log('-'.repeat(70));
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// Word wrap the content
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const words = m.text.split(' ');
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let line = '';
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for (const word of words) {
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if ((line + ' ' + word).length > 70) {
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console.log(line.trim());
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line = word;
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} else {
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line += ' ' + word;
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}
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}
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if (line.trim()) {
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console.log(line.trim());
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}
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}
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console.log('');
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console.log('='.repeat(70));
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} catch (error) {
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console.log(`Error: ${error.message}`);
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process.exit(1);
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}
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}
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main();
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