What is awesome-multi-agent-papers?

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.

Is awesome-multi-agent-papers open source?

Please check the official repository for license details.

awesome-multi-agent-papers: This repository compiles an awesome list of the best multi-agent… (★ 1.7k)

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.

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 2026-08-20, which suggests the project is still actively maintained.

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.

Compatibility

Multi-Agent Systems

Core Focus

Verified via docs

Large Language Models

Key Technology

Verified via docs

Swarms Framework

Related Framework

Verified via docs

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.

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.