agentscope
★ 33.7k
vs
AI-Gateway
★ 1.0k
agentscope vs AI-Gateway
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.; AI-Gateway: AI Gateway is an enterprise-grade gateway powered by Azure API Management for managing AI models, tools, and agents. It provides security, performance, observability, cost control, and extensibility. The project includes 30+ hands-on labs to help users deploy and manage AI gateway capabilities in Azure.
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+.
AI-GatewayMulti-Agent · ★ 1.0k
Manage and control access to Large Language Models with enterprise-grade policies
02
Side-by-Side Comparison
Field
agentscopeAI-GatewayCategory
Multi-Agent
Multi-Agent
Stars
★ 33.7k
★ 1.0k
License
Apache-2.0
MIT
Install Command
uv pip install agentscope
git clone https://github.com/Azure-Samples/AI-Gateway.git && cd AI-Gateway && code .
Updated
1d ago
1mo ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
a2a, agents, apimanagement
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.
AI-Gateway01Security with OAuth 2.0, managed identities, and content safety filtering
02Performance with load balancing, semantic caching, and request routing
03Observability with token metrics, built-in logging, and tracing
04Cost control with rate limiting, quota management, and FinOps framework
05Extensibility with MCP protocol support, function calling, and multi-model routing
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.
AI-Gateway↳Manage and control access to Large Language Models with enterprise-grade policies
↳Enable secure tool access with MCP protocol and function calling
↳Build and control agentic applications with orchestration frameworks
05
Best For
agentscopeMost PopularEssentialTrending
AI-Gateway—
FAQ
FAQ
What is the difference between agentscope and AI-Gateway?
Both agentscope and AI-Gateway are in the Multi-Agent category. agentscope has 33.7k stars, while AI-Gateway has 1.0k stars.
Which is better, agentscope or AI-Gateway?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and AI-Gateway if Manage and control access to Large Language Models with enterprise-grade policies.
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is AI-Gateway free or open source?
Yes, AI-Gateway is open source on GitHub (MIT).
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