agentscope logo
agentscope
★ 34.4k
vs
GPTSwarm logo
GPTSwarm
★ 1.1k

agentscope vs GPTSwarm

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.; GPTSwarm: GPTSwarm is a graph-based framework for building LLM-based agents. It facilitates the customized and automatic self-organization of agent swarms with self-improvement capabilities.

01

TL;DR

agentscope logo
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+.
GPTSwarm logo
GPTSwarmMulti-Agent · ★ 1.1k

Complex question answering using agent swarms.

02

Side-by-Side Comparison

Field
agentscope logoagentscope
GPTSwarm logoGPTSwarm
Category
Multi-Agent
Multi-Agent
Stars
★ 34.4k
★ 1.1k
License
Apache-2.0
MIT
Install Command
uv pip install agentscope
pip install gptswarm
Updated
1d ago
8mo ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
LLM Agents, Graph Framework, Swarm Intelligence
03

Features

agentscope logoagentscope
01Easy-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.
GPTSwarm logoGPTSwarm
01Graph-based LLM agent construction.
02Customizable and automatic self-organization of agent swarms.
03Self-improvement capabilities for agent swarms.
04Modular library for environment, graph, LLM interface, memory, and optimization.
05Optimization of inter-agent connections for performance improvement.
04

Use Cases

agentscope logoagentscope
↳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.
GPTSwarm logoGPTSwarm
↳Complex question answering using agent swarms.
↳Multi-modal analysis and summarization (e.g., image analysis).
↳Research and experimentation with LLM agent architectures and optimization.
05

Best For

agentscope logoagentscope
Most PopularEssentialTrending
GPTSwarm logoGPTSwarm
—
FAQ

FAQ

What is the difference between agentscope and GPTSwarm?
Both agentscope and GPTSwarm are in the Multi-Agent category. agentscope has 34.4k stars, while GPTSwarm has 1.1k stars.
Which is better, agentscope or GPTSwarm?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and GPTSwarm if Complex question answering using agent swarms..
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is GPTSwarm free or open source?
Yes, GPTSwarm is open source on GitHub (MIT).
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