Showing 32 open source projects for "python server"

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  • 1
    Voxampp is an Enterprise IP TriplePlay Application Stack (eIPTAS) a - run-time toolkit - for Internet Entrepreneurs that want to deploy rich IP Carrier Networks. Its goal, to facilitate worldwide Open Access Social Networks using IPTV, VoIP and much more
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  • 2
    PyREXX is a interprocess messaging server for routing remote prodecure calls using xml-based messages (Jabber, XML-RPC, etc), which will allow programs to interact more easily.
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  • 3
    Etch is a cross-platform, language- and transport-independent framework for building and consuming network services. With Etch, service development and consumption becomes no more difficult than library development and consumption.
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  • 4
    Ice Coral - WorkLog

    Ice Coral - WorkLog

    Work diary to make an evidence of device servicing

    This is a part of the Ice Coral project. The WorkLog is focused on evidence of device servicing. It's good for service teams to share information about done work. For more information visit Ice Coral - WorkLog Web Site link below.
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  • 5
    Ice Coral (project)

    Ice Coral (project)

    Information system for network infrastructure

    Ice Coral is intended to take place as Information System for InfraStructure (ISIS). This project should be central information evidence about your network infrastructure. It's planned as modular system, so you can use only one part of this system (eg. WorkLog), if you want. For more info visit Ice Coral (project) Web Site link below.
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  • 6
    Ice Coral - TimeSpan

    Ice Coral - TimeSpan

    Scheduled task and device event evidence

    This is a part of the Ice Coral project. The TimeSpan is focused on event evidence, for example scheduled tasks (Windows Task Scheduler, crond). For more info visit Ice Coral - TimeSpan Web Site.
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  • 7

    SynquoRum

    Multi-AI workspace with persistent cross-session memory via MCP

    SynquoRum is a multi-AI workspace for people who use multiple language models daily and are tired of fragmented context when switching tools. Most AI products treat memory as belonging to the model. Every new session starts from zero. SynquoRum inverts this: memory belongs to the workspace, not to any specific agent. Through an MCP (Model Context Protocol) server with 22 tools, the workspace exposes its memory to any MCP-compatible client — Claude.ai, Cursor, Cline, custom agents — so the...
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