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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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@githubtrending · Post #15565 · 03/16/2026, 11:30 AM

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#python#ai#deepagents#langchain#langgraph Deep Agents is a ready-to-use AI agent framework that comes with built-in planning, file management, and task delegation tools. It breaks down complex tasks into manageable steps, maintains context across conversations, and can spawn specialized sub-agents to handle focused work independently. You benefit from getting a working agent immediately without building from scratch, while retaining full customization options for your specific needs. The framework handles context management automatically, making it ideal for multi-step projects that traditional agents struggle with. https://github.com/langchain-ai/deepagents

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