Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
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Updated
Aug 7, 2026 - Python
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
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.
A curated collection of skills around AgentScope ecosystem and CoPaw applications.
原生AI股票研究平台,支持多智能体分析、AI Agent 协作与实时辩论对抗,可配置的大语言模型(LLM)工作流、多源市场数据及报告导出功能。
🚀 企业级多智能体编排与 ChatBI 数据洞察平台。支持多 Agent 协作、RAG 知识增强、物理数据源直连与安全沙箱执行、Redis 长期记忆引擎,并集成多模态 EmbedChat 挂件与全方位 Token 消耗审计看板。
这是一个基于AgentScope框架的AI助手应用,支持自动技能发现、智能任务匹配和终端交互,兼容claudecode的skill文件。
基于langgrahp的多智能体协作小说生成框架,四个专职AI智能体接力完成从创意到成稿的全流程。
Multi-agent Werewolf Game Based on AgentScope. 基于AgentScope的多Agent狼人杀游戏
A real-time voice AI agent built on LiveKit and AgentScope, featuring low-latency speech-to-text and text-to-speech, multi-provider speech services, and full-stack monitoring. It provides a Python backend, React web frontend, and React Native mobile client for building scalable voice experiences over WebRTC.
Run an AgentScope 2.0 agent workbench in minutes — no model key required. Native AG-UI + assistant-ui scaffold with SSE streaming, tool calls, and write-tool confirmation.
🤖 Unified AI Agent Platform — Multi-model (OpenAI/Anthropic/LiteLLM), multi-channel (Slack/Feishu/DingTalk/Telegram/Discord), multi-agent orchestration with RAG, SSE streaming, and Docker deployment
Chaos Monkey for AI Agent Systems
A coding agent application built with AgentScope
Sistema multiagente inteligente basado en **AgentScope** que automatiza completamente el diseno, presupuestacion y planificacion de sistemas fotovoltaicos. Desde informacion basica inicial, el sistema genera un analisis tecnico-economico completo con plan de instalacion detallado.
Four peer LLM agents coordinating urban traffic incidents over a message bus - quantitative results computed by deterministic skills, never invented by the model.
LangChain + LangGraph + DeepAgents + LangChain4j + springAI + AgentScope + Mastra
Accelerate Qwen3.5 KVCache with TurboQuant MLX-LM tools for prompt caching, quantized attention, and research-ready evals
事件驱动的三国主题多 Agent 狼人杀:真实流式对话、SSE 观战、SQLite 回放与 MCP 终局复盘
Run the uncensored Qwen3.6-27B-AEON model on Apple Silicon hardware using native MLX optimization.
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