agentscope
★ 33.7k
vs
ask-user-questions-mcp
★ 147
agentscope vs ask-user-questions-mcp
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.; ask-user-questions-mcp: AUQ is a comprehensive toolset designed to integrate human intent into long-running, multi-agent AI workflows. It allows AI assistants to ask clarifying questions via a dedicated CLI interface, centralizing all interactions in one inbox for convenient user responses.
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+.
ask-user-questions-mcpMulti-Agent · ★ 147
Guiding AI assistants during coding or complex problem-solving tasks
02
Side-by-Side Comparison
Field
agentscopeask-user-questions-mcpCategory
Multi-Agent
Multi-Agent
Stars
★ 33.7k
★ 147
License
Apache-2.0
MIT
Install Command
uv pip install agentscope
bun add -g auq-mcp-server
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
AI, Multi-Agent, Human-in-the-loop
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.
ask-user-questions-mcp01Supports single/multiple choice questions with custom options
02Enables multi-agent interoperability and question queueing
03Human-in-the-loop capabilities: question rejection with explanation, elaboration requesting, quick recommendations
04Non-invasive CLI interface with native OS notifications and terminal progress bar
05Multi-language support and customizable color themes
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.
ask-user-questions-mcp↳Guiding AI assistants during coding or complex problem-solving tasks
↳Injecting human intent into long-running autonomous AI workflows to prevent hallucinations
↳Centralizing clarifying questions from multiple AI agents into a single, manageable inbox
↳Responding to AI queries remotely via SSH without disrupting workflow
↳Providing a unified interface for questioning across various AI clients and platforms (MCP, OpenCode)
05
Best For
agentscopeMost PopularEssentialTrending
ask-user-questions-mcp—
FAQ
FAQ
What is the difference between agentscope and ask-user-questions-mcp?
Both agentscope and ask-user-questions-mcp are in the Multi-Agent category. agentscope has 33.7k stars, while ask-user-questions-mcp has 147 stars.
Which is better, agentscope or ask-user-questions-mcp?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and ask-user-questions-mcp if Guiding AI assistants during coding or complex problem-solving tasks.
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is ask-user-questions-mcp free or open source?
Yes, ask-user-questions-mcp is open source on GitHub (MIT).
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