No More Building Agentic Systems by Hand: Let Meta Agent Search Automate It with SOTA Performance

We are at the point of no return, agentic workflows will take over many tasks (and professions) in a few years.

So, you better start thinking: If I could automatically design any possible agentic system, what customer problems I would solve?

If you consider the current pace of development, in the very near future, we will see boutique software agencies, marketing companies and research groups run by agentic systems.

And the whole process of creating these companies, agencies and groups will be automated and orchestrated, including novel prompts, tool use, control flows, and combinations of different LLMs based on an ever-growing archive of previous discoveries.

This is just what 3 researchers — Shengran Hu, Cong Lu, and Jeff Clun — achieved with their “Meta Search Agent”.

It’s not even a well kept secret, if you haven’t been following the news, AI community is buzzing with the research from the University of British Columbia, Vector Institute, and Canada CIFAR AI Chair the last few days.

The team ran extensive experiments across multiple domains including coding, science, and math, and show that their algorithm can progressively invent agents with novel designs that greatly outperform state-of-the-art hand-designed agents.

This sounds a little crazy but the agents invented by “Meta Search Agent” maintained their…