AgentScope-AI maintains a significant public presence on GitHub, featuring a wide range of repositories primarily developed in Python, TypeScript, Java, and Go. Notable projects include agentscope, a framework for building and running agents, and QwenPaw, a personal AI assistant designed for easy deployment across various platforms.
Top languages
Public repositories
agentscope
Build and run agents you can see, understand and trust.
QwenPaw
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
HiClaw
An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.
agentscope-java
AgentScope Java: Agent-Oriented Programming for Building LLM Applications
ReMe
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
agentscope-runtime
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
OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
Trinity-RFT
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).
agentscope-studio
A development-oriented visualization toolkit
agentscope-spark-design
AgentScope Spark Design - UI Component Library for Alibaba Cloud Apsara Lab
agentscope-samples
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.
agentscope-runtime-java
A Runtime Framework for Agent Deployment and Tool Sandbox. AgentScope Runtime Java Implementation.
skills
A curated collection of skills around AgentScope ecosystem and CoPaw applications.
PawBench
A benchmark for evaluating LLM × harness performance.
agentscope-bricks
A Production-Ready agent components framework that compatible with other agent framework, such as agentscope, langgraph, autogen, more on the road
TuFT
Multi-tenant fine-tuning for local LLMs with Tinker-compatible API
agentscope-typescript
Born for agent systems
DojoZero
A platform for running AI agents on realtime sport data and make predictions about game outcomes.
docs
The AgentScope documentations
.github
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Frequently asked questions
What does agentscope-ai build on GitHub?
AgentScope-AI builds a variety of projects on GitHub, focusing on agent-oriented programming and AI applications. Key repositories include agentscope for agent development and QwenPaw as a versatile AI assistant.
Which programming languages does agentscope-ai use?
AgentScope-AI primarily utilizes Python, TypeScript, Java, and Go for its development activities. This diverse language portfolio supports their wide-ranging projects focused on AI and agent frameworks.
Are agentscope-ai's repositories public?
Yes, all of AgentScope-AI's repositories are public on GitHub. This transparency allows users and developers to access and contribute to their projects, fostering collaboration in the AI and agent development community.
Is this exposure intended?
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