Description
AgentScope is an open-source multi-agent platform that facilitates the development of LLM-powered agent applications. It provides a robust environment with drag-and-drop workflows, runtime management, and a Spark Design system, making it easier for developers to create intelligent agents. The platform spans the entire agent lifecycle, from core framework to runtime hosting, memory management, evaluation, fine-tuning, and ready-to-use applications.
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One of the key features of AgentScope is its systematic upgrade in version 2.0, which enhances super-agent applications by strengthening model calls, permissions, workspace management, context management, and agent services. This upgrade allows agents to complete complex tasks more reliably and safely, making it suitable for a wide range of applications.
AgentScope also includes various open-source projects that work together seamlessly. For instance, AgentScope-Java is an agent-oriented programming framework for the JVM, which integrates reasoning, tool integration, memory management, and multi-agent collaboration into Java enterprise applications. Additionally, ReMe is a memory management toolkit that provides agents with persistent memory, enabling them to remember preferences and learn from past interactions.
The platform also features OpenJudge, a unified framework for holistic evaluation and quality rewards, which includes over 50 production-grade judges that systematically measure agent lifecycle, tool use, and output quality. Furthermore, Trinity-RFT offers a flexible framework for reinforcement fine-tuning of LLMs, while TuFT allows for multi-tenant fine-tuning of local LLMs through a Tinker-compatible API.
AgentScope is designed for developers and organizations looking to create intelligent agents that can perform real-world tasks. Use cases include personal assistants, prediction arenas, and social networks for agents. The platform's visualization tools and design systems make building with AgentScope faster and more enjoyable, empowering users to innovate in the field of AI agents.
- CategoryAI Agent Builders
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
AgentScope's Core Features
Open Source
Multi-agent platform
Drag-and-drop workflows
Runtime management
Memory management toolkit
Holistic evaluation framework
Reinforcement fine-tuning framework
Multi-tenant fine-tuning
Getting Started with AgentScope
Install via package manager: Download and install AgentScope from the official website.
Configure: Set up your environment and configure the necessary parameters for your agents.
Build: Use the drag-and-drop interface to create your agent applications.
Deploy: Launch your agents in the desired runtime environment.
Optimise: Fine-tune your agents using the provided tools and frameworks.
AgentScope's Use Cases
- Personal Assistant
- Prediction Arena
- Social Network for Agents
- Multi-agent Collaboration
- Enterprise Applications
