Build stateful, multi-actor applications with LLMs
Agent FrameworksMulti-Agent Platforms
LangGraph by LangChain enables building stateful, multi-step agent workflows as graphs. It provides fine-grained control over agent behavior with built-in persistence, human-in-the-loop, and streaming support.
Framework for orchestrating role-playing autonomous AI agents
Agent FrameworksMulti-Agent Platforms
CrewAI is a cutting-edge framework for orchestrating autonomous AI agents. It allows you to create AI teams where agents collaborate, delegate tasks, and work together to solve complex problems.
Anthropic's SDK for building production-grade AI agents
Agent Frameworks
The Claude Agent SDK provides a lightweight, Python-first framework for building agents with Claude. Features include tool use, multi-turn conversations, guardrails, and structured handoffs between agents.
AutoGPT is one of the first and most popular autonomous AI agent projects. It chains together LLM calls to autonomously achieve goals you set, breaking them down into sub-tasks and executing them.
OpenAI's official SDK for building multi-agent workflows
Agent Frameworks
The OpenAI Agents SDK provides primitives for building agentic AI applications: agents with instructions and tools, handoffs between agents, guardrails for input/output validation, and tracing for debugging.
