7 Frameworks for Multi-Agent AI Systems: LangGraph, CrewAI, AutoGen and More
KDnuggets has published a handy overview of seven frameworks for orchestrating AI agents. The list covers LangGraph, CrewAI, Pydantic AI, Google ADK, AutoGen, Semantic Kernel and LlamaIndex Agent Workflow. The piece helps readers quickly work out which stack suits stateful workflows, enterprise integrations, multimodality, RAG and multi-agent scenarios involving code, task delegation and state persistence between steps.
AI-processed from KDnuggets; edited by Hamidun News
KDnuggets has published a roundup of seven frameworks for building multi-agent AI systems: LangGraph, CrewAI, Google ADK and AutoGen.
Why do AI agents need orchestration?
Agentic applications must manage state, run checks and plan steps, connect tools, call APIs and delegate tasks to other agents without losing context between iterations. That is why orchestration has become a separate engineering layer.
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