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.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
SQLiteManager is a multilingual web based tool to manage SQLite database. The programming language used is: PHP4, but work fine with PHP5. Work just as well on a platform Linux as on Windows or MAC.
QuickLiteAdmin is a new database administration system for embedded SQLite database files. You can access databases stored localy, upload them or even download from specified URL. QLA is written in PHP (works with PHP4/5) requires SQLite support(v2.8.x)
Secure File Transfer for Windows with Cerberus by Redwood
Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.
Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
phpSurvey is a web based survey package written in PHP4. With support for several powerful functionalities such as survey library, report generator, result analysis tool, and many others. PostgresQL is used as the backend database.
Mlam is a developper tool. It simplifies the creation of an administration tool (typically for websites). It requires php4 and mysql. Each type of data allows various options of edition. Mlam contains also a cache tool, and finally an administration tool
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.