AI AGENTS

LazyLLM

by LazyAGI

agentlead-sourcegithub-ai-agent-repositoriessource:github.commulti-agentllm-applicationscode-agentgithubdocs

Overview

LazyLLM is an all-in-one tool for building and optimizing multi-agent LLM applications.

Details

LazyLLM is described in its official documentation as an all-in-one tool for building and optimizing multi-Agent applications. Its GitHub repository describes it as the “easiest and laziest way” to build multi-agent LLM applications. The docs include GitHub, Docker, and pip installation workflows, and the Code Agent cookbook shows a workflow using FunctionCallAgent, CodeGenerator, compile_func, OnlineChatModule, and WebModule to generate and execute code from natural language.

When to Use

Build or experiment with multi-agent LLM applications using the LazyLLM project. Follow the official docs to install LazyLLM through GitHub Docker or pip workflows. Use the Code Agent cookbook as a reference for natural-language-to-code generation and execution workflows.

Getting Started

Open the LazyLLM documentation at https://docs.lazyllm.ai/en/stable/.
Choose one of the documented installation workflows: GitHub
Docker
or pip.
Review the LazyLLM GitHub repository for the project source and examples.
Try the Code Agent cookbook to inspect the FunctionCallAgent
CodeGenerator
compile_func
OnlineChatModule
and WebModule workflow.

Key Features

•All-in-one tool for building and optimizing multi-agent applications.
•Official documentation with GitHub
•Docker
•and pip installation workflows.
•Code Agent cookbook for generating and executing code from natural language.
•GitHub-hosted LazyAGI/LazyLLM project repository.

Capabilities

•multi-agent-llm-applications
•agent-workflows
•code-generation
•natural-language-code-execution

Last updated Jun 4, 2026