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LLM-Agents-Papers vs Microsoft AutoGen
LLM-Agents-Papers logo
LLM-Agents-Papers
★ 2.3k
vs
Microsoft AutoGen logo
Microsoft AutoGen
★ 58.5k

LLM-Agents-Papers vs Microsoft AutoGen

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.; Microsoft AutoGen: AutoGen is a versatile framework for developing multi-agent AI applications that can operate autonomously or in collaboration with humans. It offers a layered, extensible design, including Core and AgentChat APIs, along with developer tools like AutoGen Studio for no-code GUI development and AutoGen Bench for performance evaluation.

01

TL;DR

LLM-Agents-Papers logoChoose LLM-Agents-Papers if…

For academic researchers seeking comprehensive paper collections on LLM agents.

Microsoft AutoGen logoChoose Microsoft AutoGen if…

Developing multi-agent AI applications

02

Side-by-Side Comparison

Field
LLM-Agents-Papers logoLLM-Agents-Papers
Microsoft AutoGen logoMicrosoft AutoGen
Category
Observability
Multi-Agent
Stars
★ 2.3k
★ 58.5k
License
—
CC-BY-4.0
Updated
10mo ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Agents, Paper List, AI Research
Multi-Agent AI, AI Framework, Python
03

Features

LLM-Agents-Papers logoLLM-Agents-Papers
01Comprehensive 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
Microsoft AutoGen logoMicrosoft AutoGen
01Framework for multi-agent AI applications
02Supports autonomous or human-collaborative agents
03Layered and extensible design (Core, AgentChat, Extensions APIs)
04No-code GUI for workflow prototyping (AutoGen Studio)
05Benchmarking suite for agent performance (AutoGen Bench)
04

Use Cases

LLM-Agents-Papers logoLLM-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.
Microsoft AutoGen logoMicrosoft AutoGen
↳Developing multi-agent AI applications
↳Building specialized AI assistants (e.g., web browsing, domain experts)
↳Prototyping multi-agent workflows using a no-code GUI
05

Best For

LLM-Agents-Papers logoLLM-Agents-Papers
Trending
Microsoft AutoGen logoMicrosoft AutoGen
Most PopularTrendingEssential
FAQ

FAQ

What is the difference between LLM-Agents-Papers and Microsoft AutoGen?
Both LLM-Agents-Papers and Microsoft AutoGen are in the Observability category. LLM-Agents-Papers has 2.3k stars, while Microsoft AutoGen has 58.5k stars.
Which is better, LLM-Agents-Papers or Microsoft AutoGen?
The best choice depends on your use case. Choose LLM-Agents-Papers if For academic researchers seeking comprehensive paper collections on LLM agents., and Microsoft AutoGen if Developing multi-agent AI applications.
Is LLM-Agents-Papers free or open source?
Yes, LLM-Agents-Papers is open source on GitHub.
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (CC-BY-4.0).
→

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