Top 3 Libraries for Creating Your AI Agents (2024 Edition)

Previously we have introduced Microsoft’s AutoGen, but it’s not the only library for building good AI agents. Today we’ll introduce the TOP 3 that we highly recommend based on our firsthand experience.

If you’re interested in revisiting our AutoGen discussion, you can find it here: 👇

AutoGen — Agents🤖That Will Take Your Job🙀

Hold on a moment… Don’t worry, nobody is taking your job, just yet! Today’s post is inspired by the remarkable AutoGen framework developed by Microsoft. The concept of allowing Language Models (LLMs) to engage in conversations with each other is such an ingenious idea!

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🚀AI Agent 101

In simplified terms, an ideal agent should act similar to a human, possessing the ability to think, plan, remember, and even exhibit emotions. It should be able to interact effectively with its environment, other agents, and humans.

According to the definition from MetaGPT, we can imagine an agent as a digital organism navigating within a specific environment. We can break down its components as follows:

Agent = Large Language Model (LLM) + Observation + Thought + Action + Memory