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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40299 · 12/11/2025, 03:00 PM

In 1995, wolves were reintroduced to Yellowstone, sparking a remarkable ecological revival. Their presence changed elk behavior, allowing vegetation along riverbanks to recover. This regrowth stabilized soil and encouraged beaver populations to thrive, whose dams further improved water retention and created diverse aquatic habitats. Together, wolves and beavers helped reshape the ecosystem, even altering river flows. 🐺🦫🌿🌊 [Read more] @googlefactss #Wolves#Beavers#Yellowstone#EcosystemRestoration#RiverRevival#Conservation#NaturePower