Project Title

agentscope — Agent-Oriented Programming for Building LLM Applications

Overview

AgentScope is an open-source Python framework designed for agent-oriented programming, specifically tailored for building Large Language Model (LLM) applications. It stands out for its transparency, modularity, and support for real-time steering, making it accessible for beginners and powerful for experts.

Key Features

Transparent to Developers: All aspects of the framework are visible and controllable, with no deep encapsulation or implicit magic.
Realtime Steering: Native support for real-time interruption and customized handling.
More Agentic: Supports agentic tools management, long-term memory control, and agentic RAG.
Model Agnostic: Once programmed, applications can run with any compatible model.
LEGO-style Agent Building: Components are modular and independent, allowing for flexible construction.
Multi-Agent Oriented: Designed for multi-agent systems with explicit message passing and workflow orchestration.

Use Cases

Building LLM applications with real-time interaction capabilities.
Developing agentic tools and managing long-term memory for complex tasks.
Creating modular and customizable multi-agent systems for various applications.

Advantages

Transparent and controllable development process.
High level of customization and modularity.
Supports a wide range of models and is not limited to a specific LLM.
Designed for multi-agent interactions, which is crucial for complex applications.

Limitations / Considerations

As a specialized framework, it may have a steeper learning curve for developers not familiar with agent-oriented programming.
The project's documentation and community support are crucial for its adoption, which might be limited at this stage.

Hugging Face Transformers: A library of pre-trained models for Natural Language Processing, differing in that it focuses on model access rather than agent-oriented programming.
Rasa: An open-source machine learning framework for automated text and voice-based conversations, differing in its focus on conversational AI.
LangChain: A framework for building applications with LLMs, differing in its approach to language model integration and use cases.

Basic Information

GitHub: https://github.com/agentscope-ai/agentscope
Stars: 11,320
License: Apache 2.0
Last Commit: 2025-09-14

📊 Project Information

Project Name: agentscope
GitHub URL: https://github.com/agentscope-ai/agentscope
Programming Language: Python
⭐ Stars: 11,320
🍴 Forks: 799
📅 Created: 2024-01-12
🔄 Last Updated: 2025-09-14

🏷️ Project Topics

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📚 Documentation

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agentscope

Project Description