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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A compilation of the best multi-agent papers
| Date | Stars |
|---|---|
| 2026-07-24 | 1626 |
| 2026-07-25 | 1627 |
| 2026-07-28 | 1627 |
| 2026-07-30 | 1627 |
| 2026-07-31 | 1634 |
| 2026-08-06 | 1634 |
Today
— stars today
This week
+7 stars this week
This month
— stars this month
Momentum
17.0
growth rate 0.43%/day
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<a href="https://swarms.world">
<h1>Awesome Multi-Agent Papers</h1>
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<em>
This is an awesome list of the best multi-agent research papers, compiled by the <a href="https://github.com/kyegomez/swarms">Swarms</a> Team. Our mission at Swarms is to research multi-agent systems. <a href="https://discord.gg/EamjgSaEQf">Join our Discord Now!</a>
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---
## Format
- [Paper Name] [Description] [Link]
----
## Multi-Agent Collaboration & System Design
- **[Thought Communication in Multiagent Collaboration](https://arxiv.org/pdf/2510.20733)**
- **[MAS-Zero: Designing Multi-Agent Systems with Zero Supervision](https://arxiv.org/pdf/2505.14996)**
- **[K-Level Reasoning with Large Language Models](https://arxiv.org/pdf/2402.01521)**
- **[More Agents is All You Need](https://arxiv.org/pdf/2402.05120.pdf)**
- **[LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration](https://arxiv.org/pdf/2402.11550)**
- **[AgentScope: A Flexible yet Robust Multi-Agent Platform](https://arxiv.org/pdf/2402.14034.pdf)**
- **[Learning to Decode Collaboratively with Multiple Language Models](https://arxiv.org/abs/2403.03870)**
- **[AIOS: LLM Agent Operating System](https://arxiv.org/pdf/2403.16971.pdf)**
- **[AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://arxiv.org/abs/2308.08155)**
- **[Chain of Agents: Large Language Models Collaborating on Long-Context Tasks](https://arxiv.org/abs/2406.02818)**
- **[Mixture-of-Agents Enhances Large Language Model Capabilities](https://arxiv.org/abs/2406.04692)**
- **[EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms](https://arxiv.org/pdf/2406.14228)**
- **[Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence](https://arxiv.org/abs/2407.07061)**
- **[Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning](https://arxiv.org/abExcerpt of 38,629 characters
Read on GitHub
Kye Gomez · Swarms · United States
223
Colombia
40
Haoyang Liu · University of Illinois at Urbana–Champaign
1
1
Yunzhe Wang
1
Shuhang Xu
1
1
1
1
1
1
1
1
1
1
Guo Chen · Southwest University · China
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5d393a91258b7ed9, topic:agents, topic:autonomous-agents, topic:multi-agent