AutoGen by Microsoft : AutoGen enables businesses to implement multi-agent systems that utilize LLMs for planning, workflow, and data flow across their teams
LangGraph : LangGraph supports persistent memory, task replay, and strong error recovery for AI systems that learn/ evolve
CrewAI : CrewAI allows users to build role-based agents, such as researchers, writers, or coders, and coordinate them as a team, much like a group of humans
AgentVerse : AgentVerse suits startups that want to build large, dynamic agent ecosystems. It is particularly useful for applications such as simulations and finance
SuperAgent : SuperAgent enables seamless web browsing, file handling, database access, and tool chaining
OpenAgents : OpenAgents allows your LLM-powered agents to access tools like Python, search engines, and documents for even more usefulness
MetaGPT : MetaGPT chops software dev into roles like PM, and Dev, each executed by an agent so that team-like builds can be possible
Cognosys : Cognosy's agents are developed to be autonomous and learn. They evolve over time and are highly customizable for any business domain
Which Framework Is Right for You? - Need quick deployment? Is AutoGen or SuperAgent the best choice for rapid deployment?