May 10, 20251 yr These frameworks focus on coordinating autonomous agents—each capable of reasoning, planning, and acting—towards completing complex tasks. They support agent collaboration (e.g., manager-worker paradigms), memory, and external tool use. Ideal for advanced developers building agents that research, write, summarize, or operate autonomously across systems. These platforms are foundational for building AI-native apps and copilots that go beyond single-shot completions. Tools: CrewAI – Open-source framework for task orchestration using multiple collaborating agents, each assigned roles like researcher, analyst, or executor. Dust.tt – An enterprise agent workspace where teams build AI agents that connect to internal tools, documents, and structured workflows. AutoGen (Microsoft) – Enables LLM-powered agents to talk to each other and external tools in multi-agent collaborative settings, with dynamic context switching and memory. LangGraph – A graph-based framework built on LangChain for managing agent state, retries, and non-linear workflows between nodes or agents.
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