Showing 4 open source projects for "information system"

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  • 1
    rtk

    rtk

    CLI proxy that reduces LLM token consumption

    ...When AI assistants execute shell commands during software development tasks, the resulting terminal output often contains large amounts of repetitive or irrelevant information that can overwhelm the model’s context window. RTK intercepts these command outputs and compresses them into concise summaries before sending them to the language model. This process helps maintain important information while removing redundant data such as boilerplate logs, long directory listings, or repetitive test outputs. ...
    Downloads: 30 This Week
    Last Update:
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  • 2
    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. ...
    Downloads: 29 This Week
    Last Update:
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  • 3
    OpenShell

    OpenShell

    OpenShell is the safe, private runtime for autonomous AI agents.

    ...OpenShell also features a privacy-aware routing system that prevents sensitive information from leaving the sandbox environment. By combining container isolation, policy enforcement, and agent orchestration, OpenShell offers a secure infrastructure for developing and operating AI agents.
    Downloads: 10 This Week
    Last Update:
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  • 4
    SmartGPT

    SmartGPT

    A program that provides LLMs with ability to complete complex tasks

    SmartGPT is an experimental autonomous agent framework built to help large language models tackle complex tasks with minimal or no additional user input. It works by decomposing larger objectives into smaller steps and gathering information from the internet and other outside sources as needed. The project is written in Rust and emphasizes modularity, allowing developers to compose different “Autos” depending on the workflow they want to build. Its architecture separates responsibility...
    Downloads: 0 This Week
    Last Update:
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