The Digital Press

SwarmAgentic is a new framework that fully automates the creation and optimization of multi-agent systems for complex tasks using language-guided exploration. It evolves agent interactions and functions together, significantly improving performance on real-world planning and coordination challenges.

Why it matters: It enables scalable, autonomous generation of multi-agent systems without manual design or constraints.

The big picture: SwarmAgentic blends swarm intelligence with language models to optimize agent collaboration and functionality jointly.

Stunning stat: Achieves +261.8% relative improvement over prior methods on the TravelPlanner benchmark.

Quick takeaway: From task description alone, SwarmAgentic evolves and improves agentic systems to solve complex, open-ended problems.