agentscope logo
agentscope
★ 33.7k
vs
langroid logo
langroid
★ 4.1k

agentscope vs langroid

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.; langroid: Langroid is an intuitive, lightweight, and extensible Python framework developed by CMU and UW-Madison researchers for building LLM-powered applications. It simplifies developer experience by allowing users to set up Agents, equip them with LLMs, vector-stores, and tools, and have them collaboratively solve problems through message exchange, inspired by the Actor Framework.

01

TL;DR

agentscope logo
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+.
langroid logo
langroidMulti-Agent · ★ 4.1k

Developing secure software by identifying, prioritizing, and fixing vulnerabilities.

02

Side-by-Side Comparison

Field
agentscope logoagentscope
langroid logolangroid
Category
Multi-Agent
Multi-Agent
Stars
★ 33.7k
★ 4.1k
License
Apache-2.0
MIT
Install Command
uv pip install agentscope
pip install langroid
Updated
1d ago
3d ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
Python, Multi-Agent AI, LLM Framework
03

Features

agentscope logoagentscope
01Easy-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.
langroid logolangroid
01Multi-Agent orchestration framework for collaborative problem-solving.
02Flexible LLM integration, supporting virtually any LLM (local/remote, OpenAI-compatible APIs).
03Robust tool integration and function-calling for agents, including structured output and XML tools.
04Advanced RAG capabilities with DocChatAgent, chunk enrichment, and various document parsers.
05Support for multimodal inputs (PDF, image) and interactive task visualization with HTML Logger.
04

Use Cases

agentscope logoagentscope
↳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.
langroid logolangroid
↳Developing secure software by identifying, prioritizing, and fixing vulnerabilities.
↳Building multi-agent RAG systems, such as for pharmacovigilance in healthcare.
↳Extracting structured information from various documents using local or remote LLMs.
05

Best For

agentscope logoagentscope
Most PopularEssentialTrending
langroid logolangroid
EssentialTrending
FAQ

FAQ

What is the difference between agentscope and langroid?
Both agentscope and langroid are in the Multi-Agent category. agentscope has 33.7k stars, while langroid has 4.1k stars.
Which is better, agentscope or langroid?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and langroid if Developing secure software by identifying, prioritizing, and fixing vulnerabilities..
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is langroid free or open source?
Yes, langroid is open source on GitHub (MIT).
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