LangChain: LangChain is one of the most widely used frameworks for building AI agents. It connects large language models with APIs, databases, and tools to create intelligent workflows.
AutoGPT: AutoGPT enables autonomous AI agents that can plan tasks, generate actions, and execute goals with minimal human input, making experimentation with self-directed AI systems easier.
CrewAI: CrewAI helps developers build collaborative AI agents that work together as teams. Each agent can handle specific roles, improving efficiency in complex multi-task workflows.
Microsoft Semantic Kernel: Semantic Kernel integrates AI models with conventional programming languages. It helps developers orchestrate prompts, plugins, and memory to build advanced AI-driven applications and agents.
OpenAI Assistants API: OpenAI Assistants API allows developers to create AI agents with built-in tools, file handling, and memory, enabling conversational assistants that perform tasks beyond simple chat.
Hugging Face Transformers: Hugging Face Transformers provides thousands of pretrained models and libraries. Developers use it to build AI agents capable of text generation, classification, reasoning, and automation tasks.
Haystack: Haystack is an open-source framework designed for search and question-answering agents. It connects language models with document stores to power knowledge-based AI assistants.
LlamaIndex: LlamaIndex helps AI agents access and organize external data sources. It allows developers to structure documents, databases, and APIs for more accurate context-aware AI responses.
AgentGPT: AgentGPT runs directly in the browser and lets users deploy autonomous AI agents quickly. It is popular for testing task-driven agents without complex development setups.