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Source channel @githubtrending · Post #14769 · May 31

#python#okww#wuthering_waves#wuthering_waves_hack#wuthering_waves_software#wutheringwaves#wuwa This tool helps automate gameplay in "Wuthering Waves" by simulating user clicks on Windows. It doesn't read or modify game data, keeping the game fair. The tool is free, open-source, and designed for personal use only. It supports various screen resolutions and can run in the background. Users can download it from GitHub or other platforms. The benefit is that it simplifies gameplay interactions without cheating, making it easier for players to manage their game time. https://github.com/ok-oldking/ok-wuthering-waves

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#python #okww #wuthering_waves #wuthering_waves_hack #wuthering_waves_software #wutheringwaves #wuwa

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@githubtrending · Post #15348 · 12/20/2025, 12:00 PM

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#go#gemma3#go#gpt_oss#granite4#llama#llama3#llm#on_device_ai#phi3#qwen3#qwen3vl#sdk#stable_diffusion#vlm NexaSDK runs AI models locally on CPUs, GPUs, and NPUs with a single command, supports GGUF/MLX/.nexa formats, and offers NPU-first Android and macOS support for fast, multimodal (text, image, audio) inference, plus an OpenAI‑compatible API for easy integration. This gives you low-latency, private on-device AI across laptops, phones, and embedded systems, reduces cloud costs and data exposure, and lets you deploy and test new models immediately on target hardware for faster development and better user experience. https://github.com/NexaAI/nexa-sdk

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#go #gemma3 #gpt_oss #granite4 #llama #llama3 #llm #on_device_ai #phi3 #qwen3 #qwen3vl #sdk #stable_diffusion #vlm