Impronta pubblica su GitHub di AgentScope-AI

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

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

An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.

AgentScope Java: Agent-Oriented Programming for Building LLM Applications

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

A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.

OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

A development-oriented visualization toolkit

AgentScope Spark Design - UI Component Library for Alibaba Cloud Apsara Lab

A collection of ready-to-use Python sample agents built with AgentScope and AgentScope Runtime, covering use cases from CLI tools to full-stack applications.

A Runtime Framework for Agent Deployment and Tool Sandbox. AgentScope Runtime Java Implementation.

A curated collection of skills around AgentScope ecosystem and CoPaw applications.

A benchmark for evaluating LLM × harness performance.

A Production-Ready agent components framework that compatible with other agent framework, such as agentscope, langgraph, autogen, more on the road

Multi-tenant fine-tuning for local LLMs with Tinker-compatible API

Born for agent systems

A platform for running AI agents on realtime sport data and make predictions about game outcomes.

The AgentScope documentations

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