spring-ai-alibaba
★ 11.1k
vs
MetaGPT
★ 71.0k
spring-ai-alibaba vs MetaGPT
spring-ai-alibaba: Spring AI Alibaba is a production-ready framework for building Agentic, Workflow, and Multi-agent applications. It provides robust capabilities for context engineering, multi-agent orchestration, and graph-based workflow management.; 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.
01
TL;DR
spring-ai-alibabaMulti-Agent · ★ 11.1k
Building complex AI-native applications with multiple interacting agents.
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).
02
Side-by-Side Comparison
Field
spring-ai-alibabaMetaGPTCategory
Multi-Agent
Multi-Agent
Stars
★ 11.1k
★ 71.0k
License
Apache-2.0
MIT
Install Command
git clone --depth=1 https://github.com/alibaba/spring-ai-alibaba.git
cd spring-ai-alibaba/examples/chatbot
export AI_DASHSCOPE_API_KEY=your-api-key
mvn spring-boot:run
pip install --upgrade metagpt
Updated
3w ago
9mo ago
Open Source
Yes
Yes
Tags
AI Agents, Workflow Orchestration, Multi-agent Systems
Multi-Agent System, Large Language Models, Software Development
03
Features
spring-ai-alibaba01Multi-Agent Orchestration
02Context Engineering
03Graph-based Workflow Runtime
04Agent-to-Agent Communication
05Rich LLM and Tool Support
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.
04
Use Cases
spring-ai-alibaba↳Building complex AI-native applications with multiple interacting agents.
↳Orchestrating sophisticated workflows for long-running stateful AI agents.
↳Developing intelligent agents requiring advanced context management and human-in-the-loop capabilities.
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
05
Best For
spring-ai-alibabaMost PopularEssentialTrending
MetaGPTMost PopularEssential
FAQ
FAQ
What is the difference between spring-ai-alibaba and MetaGPT?
Both spring-ai-alibaba and MetaGPT are in the Multi-Agent category. spring-ai-alibaba has 11.1k stars, while MetaGPT has 71.0k stars.
Which is better, spring-ai-alibaba or MetaGPT?
The best choice depends on your use case. Choose spring-ai-alibaba if Building complex AI-native applications with multiple interacting agents., and MetaGPT if Data Interpreter.
Is spring-ai-alibaba free or open source?
Yes, spring-ai-alibaba is open source on GitHub (Apache-2.0).
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
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