Showing 5 open source projects for "ofn3-export-layers"

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  • 1
    Memory OS

    Memory OS

    A 7-layer memory operating system for Hermes Agent

    ...It is designed to help an AI agent retain project context, decisions, structured facts, reasoning patterns, and prior conversations across sessions. The system uses seven memory layers that combine flat files, SQLite, full-text search, structured facts, semantic recall, Qdrant vector storage, and a self-curating wiki pipeline. It injects only relevant context back into the agent so memory remains useful without wasting tokens. The project is provider-agnostic and can work with services such as OpenRouter, OpenAI, Anthropic, Ollama, or local models. ...
    Downloads: 0 This Week
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  • 2
    Moss

    Moss

    Rust Linux-compatible kernel

    Moss Kernel is an open-source operating system kernel project designed to explore modern OS design and provide a foundation for experimental system research and development. Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. The kernel uses Rust as its primary implementation...
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  • 3
    HelenOS

    HelenOS

    A microkernel-based multiserver operating system written from scratch.

    ...HelenOS does not aim to be a clone of any existing operating system and trades compatibility with legacy APIs for cleaner design. Most of HelenOS components have been made to order specifically for HelenOS so that its essential parts can stay free of adaptation layers, glue code, franken-components and the maintenance burden incurred by them.
    Downloads: 4 This Week
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  • 4
    BlockSparse

    BlockSparse

    Efficient GPU kernels for block-sparse matrix multiplication

    ...The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse patterns to scale better. The repo implements both blocksparse and blockwise convolution/transpose-convolution primitives, with support for preparing, executing, and verifying those ops on NVIDIA GPUs. In addition to low-level kernels, it includes wrapper code for integrating with TensorFlow, example scripts (e.g. a transformer on the enwik8 dataset), transformer logic that uses blocksparse operations, and debugging helpers.
    Downloads: 0 This Week
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  • 5
    The BohOS Operating System is an OS based on μMPS machine (http://mps.sourceforge.net/), divided into six layers. Each layer provides an abstraction layer to the i+1 layer.
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