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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
The Video Annotation and Reference System (VARS) is a software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the visual, descriptive, and quantitative data associated with video.
OctopusNet - SAT>IP Server with various possibilities
The High-End Networktuner - Octopus Net
The Octopus Net is streaming LiveTV to IPTV-Ready devices in the local network. It makes so many devices to a FullHD (*1) receiver for satellite television and cable television. Thereby will send the FTA Channels (*2) in FullHD in the LAN or WLAN Network. Up to 4 streams - depending on model - may be used simultaneously on stationary and mobile devices. The to-use client software (*3) is for the operating systems iOS (iPhone, iPad), Android, Mac OS...
Pear3DEngine is a modern and modular 3D development framework
Pear3DEngine is a modern and modular 3D development framework that lets you create professional games, simulations and more. You are free to develop your program in C + +, XML or LUA and publish it as open source software or selling it as a commercial program. The rendering engine uses internally OpenGL or DirectX optionally. The planned editor supports software development on Linux, Windows and maybe MacOS X. DirectX 9 and therefore Windows XP are currently not supported and support is not...
This project aims at writing a threaded, object-oriented and scriptable game engine targetting the .NET platform, using a mixture of c# or managed c++ ports of famous c/c++ components such as OGRE, CEGUI, Newton, Lua, Python, Audiere, OpenAL, etc...
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.