Multi-agent AI programs are where AIs are coupled to work collectively. Here is a list of best frameworks to build Multi-Agent AI program.

The Rec4Agentverse is a new recommendation paradigm for an LLM-based agent platform, offering personalized suggestions from Item Agents to users via the Agent Recommender. Distinguished by their ...

We present AutoGen, an open-source framework that allows developers to build LLM applications by composing multiple agents to converse with each other to accomplish tasks. AutoGen agents are ...

Multi-agents: A Primer Multi-agent systems have existed for years. What’s new is the powerful infusion of LLM capabilities that empower agents to set, prioritize and reprioritize specialized tasks.

The ubiquity of sensors and IoT devices has led to an explosion in data availability in modern agriculture. The large volume and heterogeneity of the data, together with the complexity of data ...

Agentic workflows can generate high-quality data, which surpasses the capabilities of the underlying LLMs, by using flows with reflection and iteration that enable agents to look back at solutions, ...

Codegen, a startup developing a platform to automate repetitive software engineering tasks using LLMs, has raised new capital from VCs.

Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

Different from existing LLM based solutions, by defining a meta-program graph, our work decouples control flow and data flow to enhance the predictability of the behavior of the agents. Experiments ...