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Source channel @githubtrending · Post #15536 · Mar 3

#python#agent#chatbot#large_language_models#llm#llm_agent#mcp#multi_agent#multi_modal#react_agent AgentScope is a simple, production-ready framework to build AI agents fast. Install with `pip install agentscope` (Python 3.10+), then create ReAct agents with tools, memory, voice, human steering, multi-agent workflows, and finetuning in 5 minutes. It supports realtime voice, A2A protocols, RL training, and easy deployment locally, in cloud, or Kubernetes. You benefit by quickly making robust, scalable agents for tasks like games, research, or chats without complex coding, saving time and enabling real-world apps. https://github.com/agentscope-ai/agentscope

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Crypto News & Web3 Events | TON Ecosystem

@tonevents_en · Post #1290 · 02/27/2025, 10:44 AM

✉ xQuest — What's Next? 💬The Earn phase in xQuest Launch has officially ended. Over 125,000 users completed various quest tasks: from learning basic xRocket features to mastering trading and staking. This impressive result demonstrates high interest in the new platform. ⏺➕Now the Calculationphase is going, during which the campaign results will be summarize. 💰 After calculations, the Сlaim phase will begin – from March 3rd to March 10th, participants of the first xQuest campaign can claim their earned rewards and share the prize pool of 300,000 $XROCK (~$7750). Trade on xRocket exchange #xQuest#xRocket