Showing 5 open source projects for "user management system"

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    OWS - Open Wallet Standard

    OWS - Open Wallet Standard

    Local, policy-gated signing and wallet management for every chain

    Open Wallet Standard Core is a foundational library that defines a set of interfaces and conventions for integrating cryptocurrency wallets with decentralized applications in a consistent and interoperable way. It establishes a standardized method for wallets to expose functionality such as account management, transaction signing, and connection handling, enabling seamless interaction across different blockchain ecosystems. The project focuses on improving both developer experience and user experience by reducing fragmentation in how wallets communicate with applications. It includes mechanisms for registering wallets globally, detecting available wallets in browser environments, and handling events related to wallet connection or disconnection. ...
    Downloads: 4 This Week
    Last Update:
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  • 2
    CubeSandbox

    CubeSandbox

    Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents

    CubeSandbox is a lightweight, high-performance sandboxing environment designed to securely run AI agents and untrusted code in isolated containers. Built in Rust, it focuses on enabling concurrent execution while maintaining strong isolation and low overhead. The system is optimized for scenarios where multiple AI agents need to execute tasks in parallel without compromising system integrity. It provides fast startup times and efficient resource management, making it suitable for large-scale agent orchestration. CubeSandbox integrates well with cloud-native workflows and modern infrastructure pipelines. ...
    Downloads: 7 This Week
    Last Update:
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  • 3
    llmfit

    llmfit

    157 models, 30 providers, one command to find what runs on hardware

    llmfit is a terminal-based utility that helps developers determine which large language models can realistically run on their local hardware by analyzing system resources and model requirements. The tool automatically detects CPU, RAM, GPU, and VRAM specifications, then ranks available models based on performance factors such as speed, quality, and memory fit. It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. ...
    Downloads: 26 This Week
    Last Update:
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  • 4
    nono

    nono

    Secure, kernel-enforced sandbox CLI and SDKs for AI agents

    nono is an open-source, kernel-enforced capability shell designed to safely run AI agents and other untrusted processes under strict operating system controls. The project addresses a growing security concern: modern coding agents typically execute with full user permissions, which means they can potentially read sensitive files, modify system configurations, or exfiltrate credentials if compromised. nono solves this by applying default-deny sandboxing at the kernel level using technologies such as Landlock on Linux and Seatbelt on macOS, making unauthorized actions structurally impossible rather than merely discouraged. ...
    Downloads: 2 This Week
    Last Update:
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  • 5
    OpenHuman

    OpenHuman

    Your Personal AI super intelligence. Private, simple and powerful

    ...It focuses on a private, desktop-first experience with a friendly interface, onboarding flows, and a persistent assistant that can remember context over time. The project connects to common productivity tools, gathers fresh information from integrations, and organizes user knowledge into a local memory system. It also includes practical agent tools such as web search, web fetching, file access, coding utilities, voice input, text-to-speech, and model routing. Its goal is to make an AI assistant feel continuously useful across meetings, messages, documents, tasks, and personal workflows. Since it is still in early beta, it is best suited for technical users and early adopters who want to experiment with a customizable personal AI environment.
    Downloads: 5 This Week
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