# LLM Agents Apparently this seems to make more sense than [[LangChain]] according to a comment on HN: - [GitHub - mpaepper/llm\_agents: Build agents which are controlled by LLMs](https://github.com/mpaepper/llm_agents) - [Intelligent agents guided by LLMs :: Päpper's Machine Learning Blog — This blog features state of the art applications in machine learning with a lot of PyTorch samples and deep learning code. You will learn about neural network optimization and potential insights for artificial intelligence for example in the medical domain.](https://www.paepper.com/blog/posts/intelligent-agents-guided-by-llms/) Langchain tutorials seem to have quite a bit of stuff, I stumbled upon them by looking for [[LLM Summarization]]: - [https://github.com/gkamradt/langchain-tutorials/tree/main/data\_generation](https://github.com/gkamradt/langchain-tutorials/tree/main/data_generation) ## Links [[2023-10-17]] - [A Review of Platforms for the Development of Agent Systems](https://arxiv.org/pdf/2007.08961.pdf) - [GitHub - AI-Engineer-Foundation/agent-protocol: Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.](https://github.com/AI-Engineer-Foundation/agent-protocol) - [Roadmap for a collaborative prototype of an Open Agency Architecture — LessWrong](https://www.lesswrong.com/posts/pHJtLHcWvfGbsW7LR/roadmap-for-a-collaborative-prototype-of-an-open-agency) [[2023-12-03]] - [MultiAgent 101 | MetaGPT](https://docs.deepwisdom.ai/guide/tutorials/multi_agent_101.html#mechanism-explained) Earlier 2023-10 - [Build your own agents which are controlled by LLMs | Hacker News](https://news.ycombinator.com/item?id=35446171)