The topic of AI agents is taking centre stage. Here's a list of different AI agent frameworks with a short description of each: - LangChain: A framework for developing applications powered by language models, focusing on composability and integrations. - AutoGPT: An experimental open-source application showcasing the capabilities of GPT-4, designed to autonomously achieve tasks. - BabyAGI: A simple AI agent that uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks based on a given objective. - AgentGPT: A web-based platform that allows users to create and deploy AI agents for various tasks using natural language instructions. - CAMEL (Communicative Agents for Mind Exploration of Large Scale Language Model Society): An agent framework that uses role-based chat to guide agents towards task completion while maintaining consistency with human intentions. - Cognitive Architectures: Frameworks that aim to create artificial general intelligence by modeling human cognitive processes. - Multi-Agent Systems: Frameworks that involve multiple interacting intelligent agents working together to solve complex problems. (Agent Swarm; CrewAI) - Hierarchical Agents: Structured systems where higher-level agents oversee lower-level agents, useful for coordinating multiple activities in complex environments. - GPT-Engineer: An AI agent designed to generate entire codebases from natural language descriptions. - Godmode: A framework that allows users to create AI agents with specific personalities and capabilities. - ChatDev: A framework for creating AI agents that can collaborate on software development tasks. - MetaGPT: A multi-agent framework that assigns different roles to AI agents for collaborative problem-solving. - OpenAI Assistants API: A framework for creating AI agents with specific capabilities and access to external tools. I am taking some time to learn CrewAI and Agent Swarm. @David Gabel is becoming a Crew AI expert faster than new AI tool releases ;)