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Source channel @githubtrending · Post #14731 · May 21

#cplusplus#high_performance#interior_point_method#linear_optimization#mixed_integer_programming#parallel#quadratic_programming#simplex HiGHS is a free, high-performance software that solves large and complex optimization problems like linear, quadratic, and mixed-integer programming. It works fast on many computers, including Linux, MacOS, and Windows, without needing extra software. You can use it through various programming languages like Python, C, C#, and Fortran, making it easy to integrate into your projects. HiGHS supports both serial and parallel computing, and it is advancing GPU acceleration for even faster solutions. This helps you efficiently find the best solutions for planning, scheduling, and decision-making problems in science, engineering, and business. Installation is straightforward, and detailed documentation is available to guide you[1][2][3][4]. https://github.com/ERGO-Code/HiGHS

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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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