AI Research Assistant with Mastra vNext Workflows

This project implements an advanced AI research assistant using Mastra's vNext workflows and agent capabilities. It creates an interactive, human-in-the-loop research system that allows users to explore topics, evaluate results, and generate comprehensive reports.

How to Use

# Install dependencies
npm install

# Run the research assistant
npm run dev

Follow the interactive prompts:

1. Enter your research topic
2. Specify depth (1-3) and breadth (1-5) parameters
3. Review the research findings
4. Approve or reject the research results
5. If approved, a comprehensive report will be generated (report.md)

Required Environment Variables

Create a .env file with:

EXA_API_KEY="your-exa-api-key"
OPENAI_API_KEY="your-openai-api-key"

Required Dependencies

• @mastra/core: Core Mastra functionality with vNext workflows
• @ai-sdk/openai: OpenAI models integration
• exa-js: Exa API client for web search
• zod: Schema definition and validation for workflows

Source Code

• aie-feb-25-starter-mastra