AI-Researcher

Overview

AI-Researcher is an open-source platform aimed at automating the full scientific research lifecycle, including literature review, idea generation, algorithm implementation, experimental validation, and manuscript writing.

Key Features

• End-to-end research pipeline: automates idea generation, experiment execution, and paper drafting.
• Multi-agent and model integrations: orchestrates multiple LLMs and specialized agents to perform complex research tasks.
• Benchmarks and evaluation: includes an open benchmark suite and evaluation tools for reproducible research comparisons.

Use Cases

• Automated literature review and research idea generation.
• Rapid prototyping of algorithm implementations from reference papers.
• Drafting academic manuscripts and generating experiment analysis reports.

Technical Highlights

• Implemented primarily in Python, supports Docker deployment and uv environment management.
• Provides a Web GUI built with Gradio for interactive experiments and demos.
• Includes benchmark construction, data collection pipelines, and evaluation tooling to support reproducible experiments.