#876 · Primary category: AI Agents & Automation
AgentVerse
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
Project last updated:09/09/24
GitHub Stars
5.1K
Forks
515
Contributors
23
License
Apache-2.0
Why we included this project
AgentVerse is for anyone who needs more than one LLM agent working on the same problem. It offers two ways to run them: a task-solving mode where the agents split the work among themselves, which the project demonstrates with software development and consulting setups, and a simulation mode where you build a custom environment and observe how the agents behave, classroom or prisoner's dilemma style. Ready-to-run examples come with command-line and browser interfaces, so you can get a multi-agent setup going without wiring the pieces together by hand. The task-solving side also includes benchmark configs and can run local models with extra dependencies, which makes it as useful for experiments as for real deployments. That split between building and observing is what draws both researchers studying emergent agent behavior and developers prototyping collaborative agent apps.
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