Edge 417: Building Multi Agent Systems
Can multiple agents collaborate in a single application? Some research and technologies that might help with that.
In this issue:
Some ideas about of building systems with multiple agents.
A review of Alibaba Research’s AgentScope framework.
A walkthrough LangChain’s LangGraph framework for building agent systems.
💡 ML Concept of the Day: Multi Agent Systems
Throughout this series, we have discussed the foundational capabilities of agentic systems such as memory, planning, and tool usage. Most of those discussions have centered on the implementation of single agents. But what about systems that support collaboration between multiple agents? That seems to be the maximum expression of agentic systems, and that is the focus of the last installment of our series about autonomous agents.
Multi-agent systems might sound a bit futuristic in a world where we are struggling to get single-agent architectures to work properly. However, multi-agent workflows make tremendous sense and should be a key building block of agentic systems. Solving complex tasks using a single agent requires complex input contexts and instructions, which can foment hallucinations and errors. Breaking down tasks into different agents provides a more granular level of control and facilitates aspects such as testing and maintenance.