agentscope
★ 33.7k
vs
stellar-raven
★ 14
agentscope vs stellar-raven
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.; stellar-raven: Stellar Raven is a remote MCP server built on Cloudflare Workers, offering `search` and `execute` tools to agents. It provides a unified catalog of Stellar ecosystem services and skills, enabling agents to discover and execute capabilities securely within a sandboxed environment.
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+.
stellar-ravenMulti-Agent · ★ 14
Empowering AI agents to discover available services and skills
02
Side-by-Side Comparison
Field
agentscopestellar-ravenCategory
Multi-Agent
Multi-Agent
Stars
★ 33.7k
★ 14
License
Apache-2.0
Apache-2.0
Install Command
uv pip install agentscope
npm ci && npm run dev
Updated
1d ago
2mo ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
Cloudflare Workers, Serverless, Multi-Agent
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.
stellar-raven01Remote MCP server on Cloudflare Workers
02Offers `search` and `execute` tools for agent interaction
03Secure execution of JavaScript in a sandboxed Dynamic Worker isolate
04Unified catalog for Stellar ecosystem services and skills
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.
stellar-raven↳Empowering AI agents to discover available services and skills
↳Securely executing agent-generated JavaScript code for specific tasks
↳Providing a centralized interface for integrating and accessing Stellar ecosystem functionalities
05
Best For
agentscopeMost PopularEssentialTrending
stellar-raven—
FAQ
FAQ
What is the difference between agentscope and stellar-raven?
Both agentscope and stellar-raven are in the Multi-Agent category. agentscope has 33.7k stars, while stellar-raven has 14 stars.
Which is better, agentscope or stellar-raven?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and stellar-raven if Empowering AI agents to discover available services and skills.
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is stellar-raven free or open source?
Yes, stellar-raven is open source on GitHub (Apache-2.0).
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