✳flâneur — a map of the web's best reading

Don't Sleep on Single-agent Systems

all-hands.dev · 1,503 words · saved by 1 readers

Recently "multi-agent system" is one of the hottest buzzwords in AI, the focus of popular open-source frameworks like MetaGPT and Autogen, as well as hackathons, and many research papers. But in this post, I'd like to take a look at this trend and argue that there are some strong arguments to be made for single-agent systems. In doing so, I'll draw on our experience building OpenHands, a framework for software development agents. In the summary, we'll discuss: Recently most practical agents are based on large language models like Claude by Anthropic or the OpenAI language models. But a language model is not enough to build an agent, you need at least three components In general, when we talk about multi-agent systems, we're varying at least one of these three components. For instance, let's say we're building an AI software developer. We could look at CodeR, a multi-agent framework for AI software development. It includes several agents, all using the same underlying LM but varying the

Don't Sleep on Single-agent Systems | Sep 26, 2024 ← Back to Blog Recently " multi-agent system " is one of the hottest buzzwords in AI, the focus of popular open-source frameworks like MetaGPT and Autogen , as well as hackathons , and many research papers. But in this post, I'd like to take a look at this trend and argue that there are some strong arguments to be made for single-agent systems . In doing so, I'll draw on our experience building OpenHands , a framework for software development agents. In the summary, we'll discuss: The elements that go into modern AI agents – large language mod

Explore this link on the map →

saved by

related reading