Showing 4 open source projects for "context-shredder"

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  • 1
    opencode.nvim

    opencode.nvim

    Integrate the opencode AI assistant with Neovim

    opencode.nvim is a Neovim plugin that integrates the opencode AI coding assistant directly into the editor, enabling developers to interact with AI agents in a deeply context-aware and workflow-native way. It allows users to send prompts that automatically include relevant editor context such as the current buffer, selected text, diagnostics, and visible content, making AI interactions far more precise and useful during development. The plugin supports a prompt library system, allowing developers to reuse predefined prompts or create custom ones tailored to their workflows. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    Minuet

    Minuet

    Dance with Intelligence in Your Code

    ...The system provides both traditional chat-based prompt completion and fill-in-the-middle code generation for models that support that capability. This design allows developers to receive context-aware suggestions as they type, helping accelerate coding tasks such as writing boilerplate code, completing functions, or generating small code blocks.
    Downloads: 1 This Week
    Last Update:
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  • 3
    MCP Hub

    MCP Hub

    An MCP client for Neovim that seamlessly integrates MCP servers

    mcphub.nvim is an MCP (Model Context Protocol) client plugin for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins. Create your first MCP capable agent you need only 6 lines of code. Works with any langchain-supported LLM that supports tool calling (OpenAI, Anthropic, Groq, LLama etc.)
    Downloads: 0 This Week
    Last Update:
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  • 4
    MultiPathNet

    MultiPathNet

    A Torch implementation of the object detection network

    ...It extends the Fast R-CNN framework by introducing multiple network “paths” to enhance feature extraction and object recognition robustness. The MultiPath architecture incorporates skip connections and multi-scale processing to capture both fine-grained details and high-level context within a single detection pipeline. This results in improved detection accuracy across various object sizes and categories compared to standard single-path architectures. The repository supports training, evaluation, and visualization for object detection tasks on popular datasets such as PASCAL VOC and MS COCO. It provides pre-trained models for VGG, AlexNet, and ResNet backbones, along with integration for SharpMask and DeepMask proposal generators.
    Downloads: 2 This Week
    Last Update:
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