Showing 5 open source projects for "input-leap"

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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

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    PRTG Catches Network Issues Before They Cause Downtime

    Threshold-based alerts flag problems early, so your team can act before users notice, not after.

    Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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  • 1
    camofox-browser

    camofox-browser

    Headless browser automation server for AI agents to visit sites

    ...It wraps Camoufox, a Firefox fork that performs fingerprint spoofing at the C++ level, which means many browser characteristics are altered before page scripts can inspect them, rather than relying on JavaScript-layer stealth patches. The project is designed around a REST API, making it easier for agents and external tools to create tabs, navigate pages, click elements, type input, scroll, capture screenshots, and manage browsing sessions programmatically. Instead of returning large volumes of raw HTML, it emphasizes accessibility snapshots and stable element references, which reduces token usage and creates more reliable interaction flows for AI-driven browsing. It also supports practical operational features such as per-user session isolation, cookie importing for authenticated browsing, proxy and GeoIP routing.
    Downloads: 44 This Week
    Last Update:
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  • 2
    Codex Dream Skin

    Codex Dream Skin

    Give the Codex desktop a breathing face

    ...It injects external styles through a local Chrome DevTools Protocol connection instead of modifying the official application package. Users can apply custom images and visual themes while retaining the native sidebar, project selector, suggestion cards, and input controls. The project provides platform-specific scripts for macOS and Windows. A restore process returns Codex to its original appearance with minimal effort. It binds its injection service to the local loopback interface and leaves API provider settings untouched. The repository also includes verification, recovery, and contribution guidance for safer customization.
    Downloads: 9 This Week
    Last Update:
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  • 3
    MindSearch

    MindSearch

    An LLM-based Multi-agent Framework of Web Search Engine

    MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets.
    Downloads: 0 This Week
    Last Update:
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  • 4
    49 Agents IDE

    49 Agents IDE

    Open-source 2D IDE for managing AI agents in native CLIs

    49Agents is an open-source “agentic IDE” that reimagines how developers interact with multiple AI agents, terminals, and development environments by placing everything onto a single infinite, zoomable canvas. Instead of relying on traditional tab-based workflows, it provides a spatial interface where terminals, editors, Git views, and monitoring tools coexist as movable panes, enabling users to manage complex multi-agent systems visually and intuitively. The platform is designed to work...
    Downloads: 0 This Week
    Last Update:
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

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  • 5
    SuperAGI

    SuperAGI

    A dev-first open source autonomous AI agent framework

    ...Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. ...
    Downloads: 2 This Week
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