Showing 8 open source projects for "memory monitor"

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  • 1
    MCP Monitor

    MCP Monitor

    A system monitoring tool that exposes system metrics

    The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. ​
    Downloads: 0 This Week
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  • 2
    Burr

    Burr

    Build applications that make decisions. Chatbots, agents, simulations

    Burr makes it easy to develop applications that make decisions (chatbots, agents, simulations, etc...) from simple python building blocks. Burr works well for any application that uses LLMs and can integrate with any of your favorite frameworks. Burr includes a UI that can track/monitor/trace your system in real-time, along with pluggable persisters (e.g. for memory) to save & load application state.
    Downloads: 0 This Week
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  • 3
    Kalavai

    Kalavai

    Turn everyday devices into your own AI cluster

    Kalavai is a self-hosted platform that turns everyday devices into your very own AI cluster. Do you have an old desktop or a gaming laptop gathering dust? Aggregate resources from multiple machines and say goodbye to CUDA out-of-memory errors. Deploy your favorite open-source LLM, fine-tune it with your own data, or simply run your distributed work, zero-DevOps. Simple. Private. Yours.
    Downloads: 4 This Week
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  • 4
    GPU Hot

    GPU Hot

    Real-time NVIDIA GPU dashboard

    GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. The dashboard collects and displays a wide range of performance metrics...
    Downloads: 1 This Week
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    Go From AI Idea to AI App Fast

    One platform to build, fine-tune, and deploy ML models. No MLOps team required.

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  • 5
    ClawPort

    ClawPort

    Open-source AI agent command center for Claude Code agent teams

    ...The system also incorporates organizational tools such as task boards and scheduling mechanisms, helping structure complex agent operations. By consolidating logs, metrics, and memory access into one interface, it reduces operational complexity and improves productivity.
    Downloads: 0 This Week
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  • 6
    multi-agent-shogun

    multi-agent-shogun

    Samurai-inspired multi-agent system for Claude Code

    multi-agent-shogun is a multi-agent orchestration system designed to coordinate multiple AI coding agents working in parallel. Inspired by the hierarchy of a feudal Japanese military structure, the system organizes agents into roles such as Shogun, Karo, and Ashigaru, which correspond to strategist, coordinator, and worker agents. A user interacts primarily with the Shogun agent by issuing natural language instructions that describe the desired tasks. The system then automatically...
    Downloads: 0 This Week
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  • 7
    ClawBridge

    ClawBridge

    The OpenClaw Mobile Dashboard.

    The OpenClaw Mobile Dashboard. Monitor agent's real-time thoughts, actions, track token costs, and manage tasks from anywhere using your pocket-sized Mission Control.
    Downloads: 2 This Week
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  • 8
    flutter_ume

    flutter_ume

    UME is an in-app debug kits platform for Flutter

    flutter_ume is an in-app debug-kit platform for Flutter applications, developed by ByteDance’s Flutter Infra team. It lets developers embed a suite of debugging tools directly into a Flutter app (during development or debug builds), enabling inspection, performance monitoring, UI debugging, network request inspection, widget hierarchy introspection, and more — all from within the running app. UME bundles multiple “plugin kits” (e.g., UI inspector, performance monitor, device info panel,...
    Downloads: 0 This Week
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