Initial commit: RA-H Open Source Edition

Local-first knowledge management system with BYO API keys.

Features:
- 3-panel UI (Nodes | Focus | Helpers)
- SQLite + sqlite-vec for vector search
- Agent system (Easy/Hard mode orchestrators)
- Content extraction (YouTube, PDF, web)
- Integrate workflow for connection discovery
- Dimension system with auto-assignment

Tech stack:
- Next.js 15 + TypeScript + Tailwind CSS
- Anthropic (Claude) + OpenAI (GPT) via Vercel AI SDK

Setup:
  npm install && npm rebuild better-sqlite3
  scripts/dev/bootstrap-local.sh
  npm run dev

MIT License

scripts/test-memory-update.js

@@ -0,0 +1,95 @@
+#!/usr/bin/env node
+
+/**
+ * Test script for memory UPDATE operation
+ * 
+ * This script:
+ * 1. Shows current memory facts
+ * 2. Triggers the memory pipeline manually
+ * 3. Shows updated facts after processing
+ */
+
+const Database = require('better-sqlite3');
+const path = require('path');
+const os = require('os');
+
+const dbPath = path.join(os.homedir(), 'Library/Application Support/RA-H/db/rah.sqlite');
+const db = new Database(dbPath);
+
+console.log('=== MEMORY UPDATE OPERATION TEST ===\n');
+
+// 1. Show current facts
+console.log('📊 CURRENT MEMORY FACTS:\n');
+const currentFacts = db.prepare(`
+  SELECT 
+    id,
+    entity_id,
+    content,
+    json_extract(metadata, '$.reinforcement_count') as count,
+    json_extract(metadata, '$.reinforcement_score') as score,
+    json_extract(metadata, '$.entities') as entities
+  FROM memory 
+  WHERE type='big_memory' AND entity_id LIKE 'fact:%' AND is_current=1
+  ORDER BY json_extract(metadata, '$.reinforcement_score') DESC
+`).all();
+
+currentFacts.forEach((fact, i) => {
+  console.log(`${i + 1}. [Score: ${fact.score}, Count: ${fact.count}]`);
+  console.log(`   "${fact.content}"`);
+  if (fact.entities) {
+    try {
+      const entities = JSON.parse(fact.entities);
+      if (entities && entities.length > 0) {
+        console.log(`   Entities: ${entities.join(', ')}`);
+      }
+    } catch {}
+  }
+  console.log();
+});
+
+// 2. Check pipeline state
+console.log('\n📈 PIPELINE STATE:\n');
+const pipelineState = db.prepare(`
+  SELECT last_processed_log_id, last_run_at 
+  FROM memory_pipeline_state 
+  WHERE id=1
+`).get();
+
+const maxLogId = db.prepare('SELECT MAX(id) as max FROM logs').get();
+
+console.log(`Last processed log: ${pipelineState?.last_processed_log_id || 0}`);
+console.log(`Max log ID: ${maxLogId?.max || 0}`);
+console.log(`Logs pending: ${(maxLogId?.max || 0) - (pipelineState?.last_processed_log_id || 0)}`);
+console.log(`Last run: ${pipelineState?.last_run_at || 'never'}\n`);
+
+// 3. Show recent logs that mention key entities
+console.log('\n📝 RECENT LOGS (mentioning ra-h, Paige, knowledge management):\n');
+const recentLogs = db.prepare(`
+  SELECT id, ts, table_name, summary, chat_user_full
+  FROM logs_v
+  WHERE 
+    (chat_user_full LIKE '%ra-h%' OR 
+     chat_user_full LIKE '%Paige%' OR 
+     chat_user_full LIKE '%knowledge management%' OR
+     chat_user_full LIKE '%dogfood%' OR
+     chat_user_full LIKE '%beta%' OR
+     summary LIKE '%ra-h%' OR
+     summary LIKE '%Paige%')
+  ORDER BY id DESC 
+  LIMIT 15
+`).all();
+
+recentLogs.forEach(log => {
+  const preview = log.chat_user_full 
+    ? log.chat_user_full.substring(0, 100) 
+    : log.summary.substring(0, 100);
+  console.log(`Log ${log.id} [${log.ts}]: ${preview}${preview.length >= 100 ? '...' : ''}`);
+});
+
+console.log('\n✅ To trigger pipeline manually:');
+console.log('   1. Start dev server: npm run dev');
+console.log('   2. Create 10+ new logs (chat, create nodes, etc.)');
+console.log('   3. Pipeline will auto-run and show UPDATE operations in console (if MEMORY_DEBUG=1)');
+console.log('\n   Or run this script again after interacting with the app to see updated facts.\n');
+
+db.close();