Building Your First Cognitive Agent

# Building Your First Cognitive Agent

Cognitive agents are autonomous AI systems that can learn, reason, and make decisions. This guide shows you how to build one with CognitiveX.

Prerequisites

• CognitiveX account
• Basic understanding of AI/LLM concepts
• API key from your dashboard

Step 1: Define Your Agent

Start by clarifying what your agent should do:

const agentConfig = {
  name: "Research Assistant",
  role: "Analyze technical papers and extract insights",
  capabilities: ["search", "summarize", "compare"],
  model: "gpt-4",
};

Step 2: Connect to CognitiveX

Use our SDK to initialize:

import { CognitiveXClient } from '@cognitivex/sdk';

const client = new CognitiveXClient({ apiKey: process.env.COGNITIVEX_API_KEY, }); ```

Step 3: Add Memory

Cognitive agents need context:

await client.memory.store({
  content: "Domain knowledge here",
  tags: ["research", "AI"],
  metadata: { source: "paper.pdf" },
});

Step 4: Implement Reasoning

Use the Cognition Layer:

const response = await client.cognition.reason({
  query: "Compare these papers",
  context: documentIds,
  reflection: true, // Enable reasoning capture
});

Step 5: Add Decision Logic

Make your agent autonomous:

const decision = await client.decision.choose({
  options: possibleActions,
  criteria: costAndQuality,
  context: currentState,
});

Next Steps

• Add tool use capabilities
• Implement multi-step workflows
• Connect to external APIs
• Deploy to production

Check our full documentation for advanced patterns.