Build Your Personalized Research Group: A Multiagent Framework for
  Continual and Interactive Science Automation
Authors: name: Ed Li, name: Junyu Ren, name: Xintian Pan, name: Cat Yan, name: Chuanhao Li, name: Dirk Bergemann, name: Zhuoran Yang

The automation of scientific discovery represents a critical milestone in
Artificial Intelligence (AI) research. However, existing agentic systems for
science suffer from two fundamental limitations: rigid, pre-programmed
workflows that cannot adapt to intermediate findings, and inadequate context
management that hinders long-horizon research. We present
freephdlabor, an open-source multiagent framework featuring
fully dynamic workflows determined by real-time agent reasoning and a
\textit{modular architecture} enabling seamless customization --
users can modify, add, or remove agents to address domain-specific
requirements. The framework provides comprehensive infrastructure including
automatic context compaction, workspace-based communication
to prevent information degradation, memory persistence across
sessions, and non-blocking human intervention mechanisms. These
features collectively transform automated research from isolated, single-run
attempts into continual research programs that build systematically on
prior explorations and incorporate human feedback. By providing both the
architectural principles and practical implementation for building customizable
co-scientist systems, this work aims to facilitate broader adoption of
automated research across scientific domains, enabling practitioners to deploy
interactive multiagent systems that autonomously conduct end-to-end research --
from ideation through experimentation to publication-ready manuscripts.