TLDR: An "one-size-fits-all" agentic system for all scientific domains/use cases is unfortunately not yet possible. However, freephdlabor is the first fully customizable open-source multiagent framework with dynamic workflow to continually automate all stages of research (idea conception to latex-formatted papers with figures and citations). The modular design, support features, and empirical guidelines together allow you to build, test, and ship your multiagent system tailored to your own domain/use case within hours.

Generating useful scientific slop

The most exciting goal in AI today is arguably to accelerate scientific progress, which holds the key to recursive self-improvement. A good first step towards such acceleration would be agentic systems that work 24/7 on your research problems—testing hypotheses while you sleep, exploring dead-ends so you don't have to, and delivering publication-grade reports that you can provide feedback on, much like directing your own research lab full of PhD students.

Despite recent work has shown exciting promise, such a dream assistant remains out of reach. No existing system can flexibly adapt to any scientific subdomain while autonomously managing its context for sustained, long-term research programs.

In this blog, we will dive into how freephdlabor tackles the fundamental challenges preventing this vision, enabling you to build a customized AI research system for own research needs. We focus on key design principles and intuitions; for complete implementation and the full set of features, please refer to our technical report.

You can customize your own freephdlabor, allowing you to give it half-baked research hypotheses (e.g., "can we predict neural network training phases?") in the evening and wake up to a full paper with real experiments and citations.

See it in action:
https://www.youtube.com/watch?v=xwG7dpUtues

A great weekend project would be to customize our system for yourself—once running, you'll have extra brains (or entire research teams) working alongside you 24/7 on the same problems you care about: https://github.com/ltjed/freephdlabor

What's Holding Us Back

Over the past year, systems like AI Scientist^[1], AI Scientist-v2^[2], Agent Laboratory^[3], Zochi^[4], and Robin^[5] have demonstrated automated research in specific domains. However, these systems employ fixed workflows—operating like assembly lines that i...

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