diff --git a/tests/integration/super-agent-combo.test.ts b/tests/integration/super-agent-combo.test.ts
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+++ b/tests/integration/super-agent-combo.test.ts
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+// Test combining Memory + AgentQL + Browserbase + ActionKit
+// Scenario: Agent researches competitors, stores insights in knowledge graph,
+// extracts pricing data from websites, and auto-updates Salesforce
+
+describe('SuperAgent Integration', () => {
+  it('should perform multi-platform research and automation', async () => {
+    // 1. Use Memory to recall previous research context
+    // TODO: Initialize Memory MCP server and recall previous competitor research
+    // Expected: Retrieve stored context about previous analysis sessions
+    
+    // 2. Use AgentQL + Browserbase to scrape competitor sites
+    // TODO: Set up AgentQL queries for competitor website data extraction
+    // TODO: Initialize Browserbase session for headless browser automation
+    // Expected: Extract pricing, features, and product information
+    
+    // 3. Use Sequential Thinking to analyze findings
+    // TODO: Process extracted data through Sequential Thinking MCP
+    // Expected: Generate structured insights and competitive analysis
+    
+    // 4. Use ActionKit to update CRM automatically
+    // TODO: Use Paragon ActionKit to push insights to Salesforce
+    // Expected: Automatically create/update records in CRM
+    
+    // 5. Store new insights in Memory for future sessions
+    // TODO: Persist analysis results and insights to Memory knowledge graph
+    // Expected: New research context available for next session
+  });
+});