agentscope
Active·★ 25.8k·APACHE-2.0·Updated 2026-05-28
★ Most Popular★ Trending★ Essential
AgentScope: Agent-Oriented Programming for Building LLM Applications
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.
#Agent Framework#Multi-Agent Systems#Large Language Models#Finetuning#Production-ready#Coding
01
Features
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.
02
Compatibility
DashScope
Supported
Verified via docs
Anthropic
Supported
Verified via docs
Agent-to-Agent (A2A)
Native
Verified via docs
Multi-Party Computation (MCP)
Native
Verified via docs
Kubernetes
Supported
Verified via docs
Docker
Supported
Verified via docs
03
Quick start
1
$ pip install agentscope
04
Use cases
↳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.
05
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Comments
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- RRebel HarrisMay 21, 2026
Scales from simple chatbots to complex multi-agent pipelines.
- JJamie JohnsonMay 15, 2026
Works with multiple model providers, not locked to one vendor.
- RRobin BrownMay 2, 2026
Community and documentation are solid for a research-origin framework.
- OOakley ThompsonMar 6, 2026
Agent-oriented programming paradigm for building LLM applications is well-designed.
- QQuinn ThompsonFeb 28, 2026
Good abstractions for multi-agent coordination without low-level protocol management.