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Cross-platform Gnutella file-sharing servent in Xojo with Java backend
Cabos is a simple, elegant Gnutella file-sharing servent (server-client) compatible with Windows and Mac. It is written based on LimeWire code in Java, with a customised front-end in Xojo. Cabos emphasises simplicity and elegance: its user interface and preferences dialogue are sleek and polished. It includes Mojito DHT support.
Cabos is the continuation of a project also called Cabos and run by a Japanese developer nicknamed heavy_baby; he has since ceased development on it and...
A cross platform multi-network peer-to-peer (P2P) file-sharing client.
Quazaa is a cross platform multi-network peer-to-peer (P2P) file-sharing client inspired by Shareaza which will support Gnutella2, Ares, eDonkey2000 (eMule), HTTP, FTP, and BitTorrent. Using the Qt software development kit
A Gnutella servent (server/client). Written to run cross-platform - Windows and (POSIX) UNIX. Modular UI - command line shell now, Win32 and X-Windows GUIs soon. Tries to use open source dev tools.
This daemon provides a bootstrapping solution to allow p2p servlets to connect to existing p2p networks. The GWebCache and UHC protocols are implemented. It was designed for the GNU/Linux platform, is written in C, and uses the pthreads library.
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An open Gnutella network library based on GnucDNA. It is platform-independent, developer-friendly and efficient, developed in portable C++. Easy enough for the casual P2P developer and advanced enough to satisfy the research project needs.
The aim of this project is to make a core set of libraries and facilate efficient, cross-platform, gnutella clients. Additionally to be the reference implementation of a small set of protocol extensions aimed to make writting gnutella protocol extensions
An Uber-lite, Cross-platform, 101% legal client for the Gnutella2(MP) file sharing network. It uses a white-list of file hashes and search terms to determine if a file is legal to download or not.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.