agentscope
★ 34.4k
vs
awesome-multi-agent-papers
★ 1.7k
agentscope vs awesome-multi-agent-papers
agentscope: AgentScope is a production-ready, easy-to-use agent framework designed for increasingly agentic LLMs. It offers essential abstractions, built-in support for finetuning, and flexible multi-agent orchestration for various deployment environments.; 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.
01
TL;DR
agentscopeMulti-Agent · ★ 34.4k
When to choose:
- You want composable Python 3.11+ building blocks (ReAct loop, toolkit, pipelines, A2A, realtime voice) with bilingual documentation.
- You use Chinese model providers (DashScope, DeepSeek, Volcengine) alongside global APIs under an Apache-2.0 license.
When to skip:
- You rely on v1.x AgentScope code and do not want to migrate to the redesigned v2.0 architecture.
- You need Python 3.10 or .NET support; AgentScope 2.0 requires Python 3.11+.
awesome-multi-agent-papersMulti-Agent · ★ 1.7k
Literature review for multi-agent system researchers and students.
02
Side-by-Side Comparison
Field
agentscopeawesome-multi-agent-papersCategory
Multi-Agent
Multi-Agent
Stars
★ 34.4k
★ 1.7k
License
Apache-2.0
NOASSERTION
Install Command
uv pip install agentscope
git clone https://github.com/kyegomez/awesome-multi-agent-papers.git
Updated
1d ago
5d ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
Multi-Agent Systems, Large Language Models, AI Research
03
Features
agentscope01Easy-to-use with built-in ReAct agents, tools, and human-in-the-loop steering.
02Extensible with broad ecosystem integrations, MCP, and A2A protocol support.
03Production-ready for local, serverless, or Kubernetes deployments with OTel support.
04Voice-enabled agents capable of speech understanding and response.
05Seamless integration with Reinforcement Learning for agent tuning.
awesome-multi-agent-papers01A 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.
04
Use Cases
agentscope↳Developing multi-agent collaborative applications and strategic games.
↳Building agents with advanced tool-use capabilities and multi-step reasoning.
↳Tuning agent performance using Reinforcement Learning for continuous improvement.
awesome-multi-agent-papers↳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.
05
Best For
agentscopeMost PopularEssentialTrending
awesome-multi-agent-papersTrending
FAQ
FAQ
What is the difference between agentscope and awesome-multi-agent-papers?
Both agentscope and awesome-multi-agent-papers are in the Multi-Agent category. agentscope has 34.4k stars, while awesome-multi-agent-papers has 1.7k stars.
Which is better, agentscope or awesome-multi-agent-papers?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and awesome-multi-agent-papers if Literature review for multi-agent system researchers and students..
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is awesome-multi-agent-papers free or open source?
Yes, awesome-multi-agent-papers is open source on GitHub (NOASSERTION).
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