agentscope
★ 33.7k
vs
agentos
★ 682
agentscope vs agentos
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.; agentos: AgentOS is an open-source TypeScript framework for agents with persistent cognitive memory, runtime tool forging and multi-agent orchestration across 13 LLM providers. Forged tools are tested, reviewed by an LLM judge and run in a node:vm context or a QuickJS WebAssembly sandbox.
01
TL;DR
agentscopeMulti-Agent · ★ 33.7k
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+.
agentosMulti-Agent · ★ 682
Build TypeScript agents that remember users across sessions
02
Side-by-Side Comparison
Field
agentscopeagentosCategory
Multi-Agent
Multi-Agent
Stars
★ 33.7k
★ 682
License
Apache-2.0
Apache-2.0
Install Command
uv pip install agentscope
npm install @framers/agentos
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
agent-framework, agent-memory, agentic-ai
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.
agentos01Persistent cognitive memory with decay and reconsolidation mechanisms
02Runtime tool forging with test cases and an LLM judge
03Six multi-agent orchestration strategies
04One dispatch interface across 13 LLM providers
05Optional HEXACO personality, guardrails and voice pipeline
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.
agentos↳Build TypeScript agents that remember users across sessions
↳Let agents create new tools safely when no existing tool fits
↳Orchestrate multiple agents in long-running sessions
05
Best For
agentscopeMost PopularEssentialTrending
agentosTrendingHidden Gem
FAQ
FAQ
What is the difference between agentscope and agentos?
Both agentscope and agentos are in the Multi-Agent category. agentscope has 33.7k stars, while agentos has 682 stars.
Which is better, agentscope or agentos?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and agentos if Build TypeScript agents that remember users across sessions.
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is agentos free or open source?
Yes, agentos is open source on GitHub (Apache-2.0).
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