LazyLLM
by LazyAGI
Easiest and laziest way for building multi-agent LLMs applications.
# Add to your Claude Code skills
git clone https://github.com/LazyAGI/LazyLLMLazyLLM: A Low-code Development Tool For Building Multi-agent LLMs Applications.
What is LazyLLM?
LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization. LazyLLM offers a convenient workflow for application building and provides numerous standard processes and tools for various stages of the application development process.<br> The AI application development process based on LazyLLM follows prototype building -> data feedback -> iterative optimization, which means you can quickly build a prototype application using LazyLLM, then analyze bad cases using task-specific data, and subsequently iterate on algorithms and fine-tune models at critical stages of the application to gradually improve the overall application performance.<br> LazyLLM is committed to the unity of agility and efficiency. Developers can efficiently iterate algorithms and then apply the iterated algorithms to industrial production, supporting multiple users, fault tolerance, and high concurrency. User Documentation： https://docs.lazyllm.ai/ <br> Scan the QR code below with WeChat to join the group chat(left) or learn more by watching a video(right)<br>
<p align="center"> <img src="https://github.com/user-attachments/assets/8ad8fd14-b218-48b3-80a4-7334b2a32c5a" width=250/> <img src="https://github.com/user-attachments/assets/7a042a97-1339-459e-a451-4bcd6cf64c12" width=250/> </p>Features
Convenient AI Application Assembly Process: Even if you are not familiar with large models, you can still easily assemble AI applications with multiple agents using our built-in data flow and functional modules, just like Lego building.
One-Click Deployment of Complex Applications: We offer the capability to deploy all modules with a single click. Specifically, during the POC (Proof of Concept) phase, LazyLLM simplifies the deployment process of multi-agent applications through a lightweight gateway mechanism, solving the problem of sequentially starting each submodule service (such as LLM, Embedding, etc.) and configuring URLs, making the entire process smoother and more efficient. In the application release phase, LazyLLM pr...