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LangGraph vs Autogen vs CrewAI, which to choose? I've given a breakdown of which is best for you. 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 (𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀) LangGraph is ideal for 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝗹𝗲𝘅, 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗲𝗽 𝗔𝗜 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Think of it as a 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗲𝗻𝗴𝗶𝗻𝗲 that supports memory, tools, and fallback mechanisms. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: • 𝗥𝗼𝗯𝘂𝘀𝘁 𝗘𝗿𝗿𝗼𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 – Handles failures intelligently. • 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗙𝗹𝗼𝘄 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 – Lets you define clear task flows. • 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗥𝗔𝗚 – Connects to external knowledge (PDFs, docs). • 𝗧𝗼𝗼𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 – AI agents can call APIs or tools. • 𝗛𝘂𝗺𝗮𝗻 𝗶𝗻 𝗟𝗼𝗼𝗽 – Allows human input during decision-making. • 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗠𝗲𝗺𝗼𝗿𝘆 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 – AI remembers previous interactions. _________________________________________________ 𝗔𝘂𝘁𝗼𝗴𝗲𝗻 (𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗧𝗲𝗮𝗺𝘀) Autogen is built for 𝗯𝗶𝗴 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 that need 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 with 𝗿𝗼𝗹𝗲𝘀, 𝗹𝗼𝗴𝗴𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: • 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻 – Multiple agents work together. • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 – Safe for internal use. • 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 – Agents have defined roles. • 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗘𝗿𝗿𝗼𝗿 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 – Recovers from failures automatically. • 𝗚𝗿𝗮𝗻𝘂𝗹𝗮𝗿 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 – Tracks performance in detail. • 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗔𝗣𝗜 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆 – Easily connects to company systems. ________________________________________________ 𝗖𝗿𝗲𝘄𝗔𝗜 (𝗥𝗮𝗽𝗶𝗱 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴) CrewAI is made for 𝘀𝗺𝗮𝗹𝗹 𝘁𝗲𝗮𝗺𝘀, 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀, or 𝗱𝗲𝘃𝘀 who want to 𝗯𝘂𝗶𝗹𝗱 & 𝘁𝗲𝘀𝘁 AI agents 𝗳𝗮𝘀𝘁. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: • 𝗥𝗮𝗽𝗶𝗱 𝗔𝗴𝗲𝗻𝘁 𝗦𝗲𝘁𝘂𝗽 – Get started in minutes. • 𝗣𝗿𝗲-𝗕𝘂𝗶𝗹𝘁 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗧𝗲𝗺𝗽𝗹𝗮𝘁𝗲𝘀 – No need to build from scratch. • 𝗩𝗶𝗯𝗿𝗮𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 – Strong community and support. • 𝗟𝗲𝗮𝗻 𝗮𝗻𝗱 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝗯𝗹𝗲 𝗦𝗲𝘁𝘂𝗽 – Simple and lightweight. • 𝗡𝗮𝘁𝗶𝘃𝗲 𝗧𝗼𝗼𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 – Works with Slack, Notion, etc. • 𝗤𝘂𝗶𝗰𝗸 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗟𝗲𝗮𝗻 𝗧𝗲𝗮𝗺𝘀 – Iterate and improve fast. ✅ Final Recommendation • Use 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 if you need complex logic, memory, and step-by-step flow. • Use 𝗔𝘂𝘁𝗼𝗴𝗲𝗻 if you're an enterprise building agent teams with roles and security. • Use 𝗖𝗿𝗲𝘄𝗔𝗜 if you're prototyping fast and want quick results without much setup. ✅ Repost for others in your network who can benefit from this.