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We build autonomous research systems that take a project from a one-line topic to running experiments, with no human-written experimental code. Agents plan, implement, audit and review each other in closed loops, and every handoff goes through a file on disk — so a run is recoverable, auditable, and reusable across projects. The workflow stays minimal and explicit: topic → idea → proposal → experiment.
Everything here is built on Prompt Economy: treat prompt engineering as engineering, and minimize the engineering effort it demands from humans.
| Agon | The core system. A Claude Code plugin for autonomous AI research, deployed across more than ten research domains. |
| agon-artifacts | Example data workspace for Agon — topics, ideas, proposals, and experiment workspaces. |
| AutoSR | Automated symbolic regression: a Claude Code plugin for symbolic ansatz search (paper). |
| AgonAlpha | Agent-based framework for automated alpha discovery (paper). |
| AgonReproduce | Prompt-first auditing of research claims: literature investigation, direct reproduction, and independent review in one traceable workflow. |
Clone the plugin and an artifacts workspace side by side, then run Claude Code from the workspace:
git clone https://github.com/AutoResearch-Factory/Agon.git
git clone https://github.com/AutoResearch-Factory/agon-artifacts.git
cd agon-artifacts
claude --plugin-dir ../Agon --dangerously-skip-permissions --model claude-sonnet-5[1m]
Then drive the research forward with /idea-tick, /proposal-tick, /experiment-tick, and /deep-lit-tick. See the Agon README for details.
Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy
Youran Sun, Xingyu Ren, Chugang Yi, Jiaxuan Guo, Kejia Zhang, Jianda Du, Haizhao Yang
AgonAlpha: Autonomous Alpha Discovery via Prompt Economy and Scalable Agentic Search
Weicheng Ye, Youran Sun, Xingyu Ren, Shunyao Yu, Chugang Yi, Haizhao Yang
AutoSR: Automatic Symbolic Regression by Searching Research States
Kejia Zhang, Youran Sun, Xinyu Ren, Chugang Yi, Haizhao Yang
PerspectiveGap: A Benchmark for Multi-Agent Orchestration Prompting
Youran Sun, Xingyu Ren, Kejia Zhang, Xinpeng Liu, Jiaxuan Guo
@misc{sun2026agonautonomouslargescaleomnidisciplinary,
title={Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy},
author={Youran Sun and Xingyu Ren and Chugang Yi and Jiaxuan Guo and Kejia Zhang and Jianda Du and Haizhao Yang},
year={2026},
eprint={2606.24177},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2606.24177},
}
@misc{ye2026agonalphaautonomousalphadiscovery,
title={AgonAlpha: Autonomous Alpha Discovery via Prompt Economy and Scalable Agentic Search},
author={Weicheng Ye and Youran Sun and Xingyu Ren and Shunyao Yu and Chugang Yi and Haizhao Yang},
year={2026},
eprint={2608.11250},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2608.11250},
}
@misc{zhang2026autosrautomaticsymbolicregression,
title={AutoSR: Automatic Symbolic Regression by Searching Research States},
author={Kejia Zhang and Youran Sun and Xinyu Ren and Chugang Yi and Haizhao Yang},
year={2026},
eprint={2608.16876},
archivePrefix={arXiv},
primaryClass={cs.SC},
url={https://arxiv.org/abs/2608.16876},
}
@misc{sun2026perspectivegapbenchmarkmultiagentorchestration,
title={PerspectiveGap: A Benchmark for Multi-Agent Orchestration Prompting},
author={Youran Sun and Xingyu Ren and Kejia Zhang and Xinpeng Liu and Jiaxuan Guo},
year={2026},
eprint={2606.08878},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2606.08878},
}