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Microsoft AutoGen vs ICLR2025-Papers-with-Code
Microsoft AutoGen logo
Microsoft AutoGen
★ 58.5k
vs
ICLR2025-Papers-with-Code logo
ICLR2025-Papers-with-Code
★ 582

Microsoft AutoGen vs ICLR2025-Papers-with-Code

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.; ICLR2025-Papers-with-Code: This repository curates a collection of ICLR 2025 papers and open-source projects, with a strong focus on Large Language Models and Natural Language Processing. It continuously updates to provide the latest research advancements, also linking to prior ICLR editions and an AI knowledge community.

01

TL;DR

Microsoft AutoGen logoChoose Microsoft AutoGen if…

Developing multi-agent AI applications

ICLR2025-Papers-with-Code logoChoose ICLR2025-Papers-with-Code if…

Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP.

02

Side-by-Side Comparison

Field
Microsoft AutoGen logoMicrosoft AutoGen
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
Category
Multi-Agent
RAG / Knowledge Base
Stars
★ 58.5k
★ 582
License
CC-BY-4.0
—
Updated
1mo ago
1y ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-Agent AI, AI Framework, Python
LLM, NLP, AI Research
03

Features

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)
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
01Collects ICLR 2025 papers and their corresponding open-source projects.
02Primarily focuses on advancements in Large Language Models (LLM) and Natural Language Processing (NLP).
03Provides access to collections of papers and code from previous ICLR conferences (2021-2024).
04Offers direct links to paper PDFs on OpenReview and code repositories (e.g., GitHub, Hugging Face).
05Promotes a premium AI knowledge community ('AINLPer星球') for daily updates, advanced learning, and industry insights.
04

Use Cases

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
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
↳Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP.
↳Developers seeking open-source implementations and code for published ICLR papers.
↳Individuals interested in joining a dedicated AI knowledge community for continuous learning and networking.
05

Best For

Microsoft AutoGen logoMicrosoft AutoGen
Most PopularTrendingEssential
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
Trending
FAQ

FAQ

What is the difference between Microsoft AutoGen and ICLR2025-Papers-with-Code?
Both Microsoft AutoGen and ICLR2025-Papers-with-Code are in the Multi-Agent category. Microsoft AutoGen has 58.5k stars, while ICLR2025-Papers-with-Code has 582 stars.
Which is better, Microsoft AutoGen or ICLR2025-Papers-with-Code?
The best choice depends on your use case. Choose Microsoft AutoGen if Developing multi-agent AI applications, and ICLR2025-Papers-with-Code if Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP..
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (CC-BY-4.0).
Is ICLR2025-Papers-with-Code free or open source?
Yes, ICLR2025-Papers-with-Code is open source on GitHub.
→

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