Follow this step-by-step guide to create and deploy your first AI agent using Motte.
For your first agent, we'll create a Research Assistant that can gather information and provide summaries.
Gathers and analyzes information from various sources
Creates content based on prompts and guidelines
Processes data and provides insights
First, let's give our agent some memory so it can learn and remember context.
1. Go to Tools → MotteMB 2. Click "Create Memory" 3. Add initial context: "I am a research assistant specialized in gathering information on technology topics. I provide accurate, well-sourced summaries and can identify key trends and insights from multiple sources."
Pro tip: The more context you provide in the initial memory, the better your agent will perform. Include its role, capabilities, and any specific instructions.
Now let's create a simple workflow for our research agent.
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ Research │───▶│ Analysis │───▶│ Writer │ │ Agent │ │ Agent │ │ Agent │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ ▼ ▼ ▼ Gather Info Process Data Create Summary
Let's connect some external tools to enhance our agent's capabilities.
Endpoint: https://api.search.com/v1
Purpose: Gather current information
Authentication: API Key
Endpoint: https://en.wikipedia.org/api
Purpose: Get detailed background info
Authentication: None required
Your agent is now configured. Let's run a test to see it in action.
"Research the latest developments in artificial intelligence and provide a summary of the top 3 trends in 2024."
While your agent is running, you can monitor its performance in real-time.
Check your API keys and ensure you have sufficient credits.
Add more specific context to your agent's memory and refine your prompts.
Ensure all agents are properly connected and your workflow has a clear start point.
You've successfully created and deployed your first AI agent using Motte. Your research assistant can now gather information, analyze it, and provide structured summaries.