MetaGPT
★ 71.0k
vs
LazyLLM
★ 3.9k
MetaGPT vs LazyLLM
MetaGPT: MetaGPT is a multi-agent framework that assigns different roles to LLMs, enabling them to collaborate on complex software development tasks. It takes a one-line requirement and outputs comprehensive project artifacts, mimicking a software company's entire process.; 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.
01
TL;DR
MetaGPTMulti-Agent · ★ 71.0k
When to choose:
- You want to experiment with or demonstrate the 'software company SOP' multi-agent pattern (PM, architect, engineer generating specs and code).
- You are looking for the reference implementation of research papers from the team such as AFlow, SPO, and AOT.
When to skip:
- You want an actively updated general-purpose production agent framework; the repository's last push was in January 2026.
- You are on Python 3.12+ or do not want to install Node.js and pnpm alongside Python (README specifies Python 3.9–3.11).
LazyLLMMulti-Agent · ★ 3.9k
Chatbots
02
Side-by-Side Comparison
Field
MetaGPTLazyLLMCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 3.9k
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
pip3 install lazyllm
Updated
9mo ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
LLMs, Multi-agent, Low-code
03
Features
MetaGPT01Accepts single-line requirements and generates comprehensive software artifacts (e.g., user stories, APIs, documentation).
02Emulates a software company by assigning distinct roles (e.g., PM, Architect, Engineer) to LLM agents.
03Orchestrates collaborative processes using Standard Operating Procedures (SOPs) for complex task completion.
04Supports integration with various Large Language Models and APIs (e.g., OpenAI, Azure, Ollama, Groq).
05Enables advanced capabilities like data interpretation and automated workflow generation.
LazyLLM01Convenient AI application assembly process with multi-agent support.
02One-click deployment for complex multi-agent applications, from POC to production.
03Cross-platform compatibility, allowing seamless migration across bare-metal, Slurm, and public clouds.
04Unified user experience for diverse online and local models, inference frameworks, and databases.
05Efficient in-application model fine-tuning with automatic framework and strategy selection.
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
LazyLLM↳Chatbots
↳Retrieval-Augmented Generation (RAG)
↳Multimodal AI Applications
05
Best For
MetaGPTMost PopularEssential
LazyLLMTrending
FAQ
FAQ
What is the difference between MetaGPT and LazyLLM?
Both MetaGPT and LazyLLM are in the Multi-Agent category. MetaGPT has 71.0k stars, while LazyLLM has 3.9k stars.
Which is better, MetaGPT or LazyLLM?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and LazyLLM if Chatbots.
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is LazyLLM free or open source?
Yes, LazyLLM is open source on GitHub (Apache-2.0).
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