LangChain is a framework for building applications powered by language models. It provides core capabilities such as chaining, memory management, and agent orchestration, making it a go-to choice for AI agent development.
Agents is an open-source AI agent framework for building intelligent agents that can autonomously plan and execute tasks.
DSPy is a declarative LLM programming framework focused on optimizable prompts and program structure, suitable for complex agent workflows.
GPT Researcher is an autonomous research agent that can gather, organize, and analyze information to produce detailed research reports.
CAMEL is an open-source framework for multi-agent collaboration, supporting role-play, task decomposition, and coordinated execution.