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S03-R02 — Agent Laboratory

Research R0049 — Landscape Scan
Run 2026-03-31-02
Query Q001
Search S03
Result R02

Description

Multi-agent LLM framework for autonomous scientific research.

Summary

Field Value
Title Agent Laboratory: Using LLM Agents as Research Assistants
URL https://arxiv.org/abs/2501.04227
Date accessed 2026-03-31
Publication date 2025-01
Authors Samuel Schmidgall et al.
Publication EMNLP 2025 Findings

Selection Decision

Selected — Represents the state of the art in complete research agent frameworks. Implements literature review, experimentation, and report writing stages. However, this is a code-based multi-agent architecture (Python), not a system prompt. It achieves 84% cost reduction vs. prior methods but does not implement named analytical rigor frameworks (ICD 203, GRADE, etc.).