The way we do research is about to change.

Today, doing research is overwhelming. There's so much literature to review and so little time that picking the wrong path could take you back years.

We might have a solution for this:

There's a new multi-agent system with four specialized agents to do AI research at scale:

Ideation → Planning → Experiment → Writing

Lemma's FARS (Fully Automated Research System) mode was built to produce hypothesis-validation pairs so that a single researcher can explore in a week what used to take a lab a year.

Their four agents can run a full research loop end-to-end without relying on humans at all.

Each agent owns one stage of the pipeline:

• The Ideation agent finds the hypothesis • The Planning agent designs the study • The Experiment agent runs it • The Writing agent drafts the paper

This design allows FARS to run multiple research threads in parallel, like a lab with dozens of researchers working simultaneously.

I read their blog post, and the way they architected the system is pretty interesting:

The agents don't talk to each other directly. Instead, they coordinate through a shared file system that doubles as a workspace and a persistent memory.

This allows the system to scale to many concurrent projects.

Here is what FARS gives you:

You give it a research direction → The system generates hypotheses → Runs them through automated reviews → The ones that pass move down the pipeline → You get back short papers focused on a single, well-scoped contribution, each one is a hypothesis and its validation.