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👋 Welcome to AgentScope!

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AgentScope is a production-ready, easy-to-use agent framework with essential abstractions that works with rising model capability and built-in support for finetuning.

We design for increasingly agentic LLMs. Our approach leverages the models' reasoning and tool-use abilities rather than constraining them with strict prompts and opinionated orchestrations.

Why use AgentScope?

  • Simple yet powerful: start building your agents in 5 minutes with built-in ReAct agent, tools, skills, human-in-the-loop steering, memory, planning, realtime voice, evaluation, model finetuning, etc.
  • Extensible: large number of ecosystem integrations for tools, memory and observability; built-in support for protocols such as MCP, A2A and agent skills; message hub for flexible multi-agent orchestration and workflows.
  • Production-ready:deploy and serve your agents locally, as serverless in the cloud, or on your K8s cluster with built-in OTel support and multi-language support.

From developing, observability to deployment, we provide an integrated suite of components:

  • AgentScope - A flexible programming framework for building multi-agent applications with self-explanatory APIs.
  • AgentScope-Runtime - Scalable deployment infrastructure for running agents reliably in production.
  • AgentScope-Studio - Visual development environment for rapid prototyping, debugging, and monitoring your agents.
  • AgentScope-Samples - A curated collection of ready-to-use agent examples and templates, from simple command-line tools to full-stack production-ready applications.

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Repositories

Showing 10 of 15 repositories
  • CoPaw Public

    Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

    agentscope-ai/CoPaw’s past year of commit activity
    Python 10,443 Apache-2.0 1,202 291 (3 issues need help) 94 Updated Mar 10, 2026
  • agentscope-java Public

    AgentScope Java: Agent-Oriented Programming for Building LLM Applications

    agentscope-ai/agentscope-java’s past year of commit activity
    Java 1,669 357 173 (16 issues need help) 57 Updated Mar 10, 2026
  • agentscope-skills Public

    A collection of skills around AgentScope

    agentscope-ai/agentscope-skills’s past year of commit activity
    Python 46 Apache-2.0 0 1 1 Updated Mar 10, 2026
  • ReMe Public

    ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

    agentscope-ai/ReMe’s past year of commit activity
    Python 2,111 Apache-2.0 157 3 1 Updated Mar 10, 2026
  • agentscope Public

    Build and run agents you can see, understand and trust.

    agentscope-ai/agentscope’s past year of commit activity
    Python 17,916 Apache-2.0 1,585 92 (4 issues need help) 43 Updated Mar 10, 2026
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    OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

    agentscope-ai/OpenJudge’s past year of commit activity
    Python 443 Apache-2.0 35 10 (2 issues need help) 0 Updated Mar 10, 2026
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    Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

    agentscope-ai/Trinity-RFT’s past year of commit activity
    Python 554 Apache-2.0 55 29 (2 issues need help) 3 Updated Mar 10, 2026
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    AgentScope Spark Design - UI Component Library for Alibaba Cloud Apsara Lab

    agentscope-ai/agentscope-spark-design’s past year of commit activity
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    A development-oriented visualization toolkit

    agentscope-ai/agentscope-studio’s past year of commit activity
    TypeScript 446 Apache-2.0 97 10 10 Updated Mar 6, 2026
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    Multi-tenant fine-tuning for local LLMs with Tinker-compatible API

    agentscope-ai/TuFT’s past year of commit activity
    Python 38 MIT 6 9 1 Updated Mar 6, 2026