Showing 4 open source projects for "bridge linux"

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  • 1
    graphify

    graphify

    AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw)

    graphify is a data visualization and transformation tool designed to convert structured or semi-structured data into graph-based representations, enabling better understanding of relationships and dependencies. It focuses on building visual models such as nodes and edges that represent entities and their connections, making complex datasets easier to interpret. The system likely supports dynamic updates, allowing graphs to evolve as data changes or new inputs are introduced. It is...
    Downloads: 9 This Week
    Last Update:
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  • 2
    Composer API

    Composer API

    OpenAI-compatible API proxy for Cursor Composer

    Composer API is an OpenAI-compatible API proxy for Cursor Composer. It is designed for developers who want to interact with Cursor’s Composer-style agent workflow through a familiar API surface. The project acts as a translation layer, letting compatible clients send requests in an OpenAI-like format while routing them toward the Composer backend behavior. This makes it useful for experimentation, automation, or tool integrations that already understand OpenAI-style chat completion patterns....
    Downloads: 2 This Week
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  • 3
    Kimi Code CLI

    Kimi Code CLI

    Kimi Code CLI is your next CLI agent

    Kimi CLI is a command-line AI agent that brings an intelligent software development assistant directly into your terminal, helping you with coding tasks, shell operations, and workflow automation without leaving your command prompt. It supports an interactive shell-like user interface where you can chat with the agent, request code edits, run shell commands, and receive contextual suggestions as you work, creating a seamless blend of AI-augmented development and traditional terminal usage....
    Downloads: 9 This Week
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  • 4
    Brokk

    Brokk

    Brokk brings code intelligence to AI

    Brokk is a code intelligence assistant framework designed to let large language models (LLMs) understand code semantically (not just as raw text) so that they can work effectively on large codebases that don’t fit wholly in a prompt context. It helps bridge the gap between LLMs and real-world engineering code by offering tooling to index, analyze, query, and augment code context, so that AI can meaningfully reason about existing code, suggest edits, and navigate across projects. Modular...
    Downloads: 0 This Week
    Last Update:
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