awesome-multi-agent-papers
Active·★ 1.6k·Updated 2026-07-04
★ Trending
This repository compiles an awesome list of the best multi-agent research papers, curated by the Swarms Team. Its mission is to advance multi-agent systems research, promote their widespread adoption, and facilitate their integration into the global economy.
awesome-multi-agent-papers is currently grouped under Multi-Agent, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward A curated, comprehensive list of multi-agent research papers. and Literature review for multi-agent system researchers and students.. It also shows measurable community traction with 1.6k GitHub stars.
#Multi-Agent Systems#Large Language Models#AI Research#Agent Frameworks#Collaborative AI#Web Browsing
01
Features
01A curated, comprehensive list of multi-agent research papers.
02Papers are systematically categorized into key areas like collaboration, frameworks, and applications.
03Strong focus on Large Language Model (LLM)-based multi-agent systems.
04Provides direct access to papers via links (arXiv, GitHub, Semantic Scholar, etc.).
05Explores diverse real-world application domains for multi-agent AI.
02
Why choose it
+A curated, comprehensive list of multi-agent research papers.
+Literature review for multi-agent system researchers and students.
+Covers 3 supported environments or platforms, which is helpful for broader deployment needs.
+The latest recorded update is 2026-07-04, which suggests the project is still actively maintained.
03
Trade-offs
!This page does not list a concrete install command, so you may need to verify setup steps in the official docs before adopting it.
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
Compatibility
Multi-Agent Systems
Core Focus
Verified via docs
Large Language Models
Key Technology
Verified via docs
Swarms Framework
Related Framework
Verified via docs
05
Use cases
↳Literature review for multi-agent system researchers and students.
↳Exploring cutting-edge multi-agent frameworks and design patterns.
↳Identifying state-of-the-art applications of multi-agent AI in various domains.
06
How it compares
≈awesome-multi-agent-papers sits in the Multi-Agent category, so it makes more sense to evaluate it alongside tools like Microsoft AutoGen instead of in isolation.
≈If your main need is closer to "Literature review for multi-agent system researchers and students.", that use case is a better lens for comparison than broad feature checklists alone.
≈awesome-multi-agent-papers's licensing and community traction are both easier to judge in category context.
07
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