LazyAGI/LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
This tool helps AI developers quickly build complex AI applications, especially those that involve multiple AI agents working together. You provide your models and data, and it helps you assemble, deploy, and fine-tune these applications efficiently. It's designed for AI developers and engineers who want to streamline their workflow and iterate on AI solutions faster.
3,747 stars. Actively maintained with 8 commits in the last 30 days.
Use this if you are an AI developer looking for a low-code way to build, deploy, and iterate on multi-agent large language model applications.
Not ideal if you are an end-user without programming knowledge, as this is a developer tool for building applications, not a ready-to-use application itself.
Stars
3,747
Forks
364
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
8
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/LazyAGI/LazyLLM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
WangRongsheng/awesome-LLM-resources
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the...
SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.
luhengshiwo/LLMForEverybody
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
katanaml/sparrow
Structured data extraction and instruction calling with ML, LLM and Vision LLM
PacktPublishing/LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS...