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.
Try It Free
Stop vibe-debugging.
Plug Claude into your app's actual errors.
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.
Metadata-based information portal that will ultimately function as a portal/institutional repository with content management capabilities. Flexible search indexing/scoring, robust metadata definitions, hierarchical structure, and much more to come.
DiceRoller is a port of the popular game, Yahtzee, to the PC. DiceRoller is written in Java, and requires the latest version of Java (or one with Swing) to run. DiceRoller has an intuitive interface, dynamic scoring, themeable dice, and more...
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
A web application to enable scoring of cricket matches, implemented as a Java JSP/Servlet system.
The initial version will aim to support indoor and outdoor games, while the eventual aim is to have entry at the time of play via a disconnected client.
...The user can key in theoretical board layouts and then have the computer calculate the next best move. The computer knows 175,000 words and can calculate in seconds the highest scoring placement.
The aim of this project is to highlight the effect of lexical chain scoring metrics and keyword extraction techniques on summary generation. We present our own chain-based keyword extraction system using WordNet lexical database.