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