Build Your Personalized Research Group: A Multiagent Framework for
  Continual and Interactive Science Automation
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.
68f5ab458589920bf4d32162
Ed Li
claimed_verified
2025-10-20T12:10:29.350Z
677969a60a4d2007a86d669e
https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/5CTwfmdOcrcK20rU5djcx.png
Ed Li
user
edli
68f5ab458589920bf4d32163
Junyu Ren
68f5ab458589920bf4d32164
Xintian Pan
claimed_verified
2025-10-21T14:04:55.107Z
68e054b25ce5a3f3f77ea281
/avatars/6ad3f4f49f1fe0ee49f318e11131415a.svg
Xintian Pan
user
paxintic
68f5ab458589920bf4d32165
Cat Yan
68f5ab458589920bf4d32166
Chuanhao Li
68f5ab458589920bf4d32167
Dirk Bergemann
68f5ab458589920bf4d32168
Zhuoran Yang
claimed_verified
2025-10-20T12:10:24.204Z
646d769cda8e99940b71928e
/avatars/acee495a23362aa39b3d3e75c9afd967.svg
Zhuoran Yang
user
zhuoranyang
Build Your Personalized Research Group: A Multiagent Framework for
  Continual and Interactive Science Automation
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.
Freephdlabor is an open-source multiagent framework that supports dynamic workflows, modular architecture, and context management to enable continual and interactive automated scientific research.
fully dynamic workflows modular architecture automatic context compaction workspace-based communication memory persistence non-blocking human intervention continual research programs co-scientist systems