keryx vs agentscope
keryx: Keryx is a fullstack TypeScript framework built on Bun, designed to write application logic once and deploy it across various transports, including HTTP, WebSocket, CLI, background tasks, and MCP (Model Context Protocol) for AI agents. It automatically exposes all actions as MCP tools, allowing AI agents to authenticate and interact with your application's validated endpoints with type safety.; 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.
TL;DR
Developing full-stack web applications where backend logic needs to serve various client types (web, mobile, CLI, AI agents).
- 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.
- 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+.
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