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agentscope-ai/agentscope

A production-ready, extensible AI agent framework designed for building, deploying, and understanding intelligent agents powered by advanced LLMs, with built-in finetuning and multi-agent orchestration.

Core Features

Rapid agent development with built-in tools, skills, memory, and human-in-the-loop steering.

Extensible ecosystem with integrations for various tools, memory, observability, and multi-agent protocols (MCP, A2A).

Production-grade deployment options including local, serverless, and Kubernetes, with OpenTelemetry support.

Leverages LLM reasoning and tool-use capabilities without strict prompt constraints.

Quick Start

pip install agentscope

Detailed Introduction

AgentScope is a robust and user-friendly framework for developing and deploying AI agents, specifically tailored for the evolving capabilities of large language models. It provides essential abstractions and built-in functionalities like ReAct agents, memory management, planning, and finetuning, enabling developers to quickly build complex agent systems. Its design emphasizes extensibility and production readiness, supporting flexible multi-agent orchestration, diverse ecosystem integrations, and scalable deployment across various environments, making it ideal for creating observable, understandable, and trustworthy AI applications.