Auto-Deep-Research - AI Research Tool

Overview

Auto-Deep-Research is an open-source, fully automated personal AI assistant for research built on the AutoAgent framework. It integrates with various LLMs, supports function-calling and file uploads, and offers a one-click launch for automated research workflows (https://github.com/HKUDS/Auto-Deep-Research).

Key Features

  • Fully automated personal AI assistant for research
  • Built on the AutoAgent framework
  • Integrates with multiple external LLMs
  • Supports function-calling interactions
  • Accepts file uploads for data-driven research
  • One-click launch for automated workflows
  • Open-source repository on GitHub

Ideal Use Cases

  • Automate literature reviews and summaries
  • Extract data from research files and reports
  • Prototype LLM-powered research workflows
  • Personal research assistant for iterative exploration
  • Cost-effective alternative to managed research tools

Getting Started

  • Open the project's GitHub repository
  • Clone or download the repository to your machine
  • Read the README and configuration documentation
  • Configure integrations with your chosen LLMs or endpoints
  • Provide API keys or model access credentials as instructed
  • Upload research files or connect data sources
  • Use the one-click launch to start automated research workflows
  • Monitor logs and outputs; adjust prompts or settings

Pricing

Not disclosed. The project is open-source; external LLM usage and hosting may incur separate costs.

Limitations

  • Requires integration with external LLMs or model endpoints
  • Users are responsible for hosting, deployment, and operational costs

Key Information

  • Category: Research
  • Type: AI Research Tool