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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.
BinaryNotes is the Open Source ASN.1 (Abstract Syntax Notation One) framework for Java and .NET based on annotations/attributes. The framework has the flexible ASN.1 compiler, the runtime library that supports BER, DER and PER, and the Message Queues
Extensible IDE and framework for managing small and large-scale code generation projects. Through an abstracted code generation layer, CH3ETAH can support almost any template language, workflows, and even tasks not directly related to code generation.
Adapdev.NET is an enterprise framework that builds on the Microsoft.NET framework, providing enhanced components for object caching, database access and querying, code generation, unit testing and encryption, among others.
Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
DataQuicker is a data access layer framework. It helps us to cut down, accelerate development and decrease risks. It's more possible to provide our customers a perfect on-time project, and release us away from working over-time and delay.
.NET Object Relational Component Architecture (N-ORCA) is an architecture and framework for generating a robust middle-tier in any .NET language that stores persistent data in a relational database.