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agentscope
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agentscope

Active·★ 28.1k·APACHE-2.0·Updated 2026-07-20
★ Most Popular★ Trending★ Essential

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.

agentscope is currently grouped under Voice / Speech, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Easy-to-use with built-in ReAct agents, tools, and human-in-the-loop steering. and Developing multi-agent collaborative applications and strategic games.. The listed license is APACHE-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 28.1k GitHub stars.

#Agent Framework#Multi-Agent Systems#Large Language Models#Finetuning#Production-ready#Coding
$ Install
$ pip install agentscope
↗ Visit site★ GitHub
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

Why choose it

+Easy-to-use with built-in ReAct agents, tools, and human-in-the-loop steering.
+Developing multi-agent collaborative applications and strategic games.
+Covers 7 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a APACHE-2.0 license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

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
05

Quick start

1
$ pip install agentscope
06

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.
07

How it compares

≈agentscope sits in the Voice / Speech category, so it makes more sense to evaluate it alongside tools like OpenClaw instead of in isolation.
≈If your main need is closer to "Developing multi-agent collaborative applications and strategic games.", that use case is a better lens for comparison than broad feature checklists alone.
≈agentscope uses a APACHE-2.0 license, and community traction are both easier to judge in category context.
08

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Related searches

agentscope AlternativesBest Voice / Speech Tools 2026Open Source Voice / Speechagentscope Tutorialagentscope Vs CompetitorsAgent FrameworkMulti-Agent SystemsLarge Language Models

Comments

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  • ?
    usr_seed_0897May 21, 2026

    Scales from simple chatbots to complex multi-agent pipelines.

  • ?
    usr_seed_0412May 15, 2026

    Works with multiple model providers, not locked to one vendor.

  • ?
    usr_seed_0631May 2, 2026

    Community and documentation are solid for a research-origin framework.

  • ?
    usr_seed_0491Mar 6, 2026

    Agent-oriented programming paradigm for building LLM applications is well-designed.

  • ?
    usr_seed_0459Feb 28, 2026

    Good abstractions for multi-agent coordination without low-level protocol management.

On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 28.1k
Last commit1d ago
StatusActive
LicenseAPACHE-2.0
CategoryVoice / Speech
Trend (30d)
+1.1k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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