LLM-Agents-Papers
★ 2.4k
vs
MetaGPT
★ 71.0k
LLM-Agents-Papers vs MetaGPT
LLM-Agents-Papers: This repository provides a comprehensive list of papers focused on Large Language Model (LLM) based agents. It covers various aspects, including enhancement techniques, interaction methods, diverse applications, and underlying infrastructure for LLM agents.; 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
LLM-Agents-PapersMulti-Agent · ★ 2.4k
For academic researchers seeking comprehensive paper collections on LLM 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
LLM-Agents-PapersMetaGPTCategory
Multi-Agent
Multi-Agent
Stars
★ 2.4k
★ 71.0k
License
—
MIT
Install Command
git clone https://github.com/AGI-Edgerunners/LLM-Agents-Papers.git
pip install --upgrade metagpt
Updated
1y ago
9mo ago
Open Source
Yes
Yes
Tags
LLM Agents, Paper List, AI Research
Multi-Agent System, Large Language Models, Software Development
03
Features
LLM-Agents-Papers01Comprehensive survey of LLM agent papers
02Techniques for enhancing LLM agent capabilities
03Methods for agent interaction and collaboration
04Diverse applications of LLM agents in various fields
05Infrastructure and evaluation benchmarks for LLM agents
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
LLM-Agents-Papers↳For academic researchers seeking comprehensive paper collections on LLM agents.
↳As a learning resource for students and newcomers to the field of AI agents.
↳To guide practitioners in understanding and implementing advanced LLM agent techniques.
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
05
Best For
LLM-Agents-Papers—
MetaGPTMost PopularEssential
FAQ
FAQ
What is the difference between LLM-Agents-Papers and MetaGPT?
Both LLM-Agents-Papers and MetaGPT are in the Multi-Agent category. LLM-Agents-Papers has 2.4k stars, while MetaGPT has 71.0k stars.
Which is better, LLM-Agents-Papers or MetaGPT?
The best choice depends on your use case. Choose LLM-Agents-Papers if For academic researchers seeking comprehensive paper collections on LLM agents., and MetaGPT if Data Interpreter.
Is LLM-Agents-Papers free or open source?
Yes, LLM-Agents-Papers is open source on GitHub.
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
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