AIKitchen provides a developer-friendly Python toolkit enabling you to compose AI agents as modular building blocks. At its core, it offers pipeline definitions with stages for input preprocessing, LLM invocation, tool execution, and memory retrieval. Integrations with popular LLM providers allow flexibility, while built-in memory stores track conversational context. Developers can embed custom tasks, leverage retrieval-augmented generation for knowledge access, and gather standardized metrics to monitor performance. The framework also includes workflow orchestration capabilities, supporting sequential and conditional flows across multiple agents. With its plugin architecture, AIKitchen streamlines end-to-end agent development—from prototyping research ideas to deploying scalable digital workers in production environments.

Xibra Network provides a centralized platform where enterprises can discover a wide range of AI agents tailored for tasks such as customer support, predictive analytics, natural language processing, computer vision, and more. Users can filter services based on performance metrics, compliance certifications, and pricing models. Each offering comes with sandbox environments and standardized APIs, allowing rapid prototyping and seamless integration. The platform also includes vendor scorecards, usage analytics, and SLA management tools. By abstracting the complexity of AI deployment, Xibra Network ensures consistent governance, data privacy, and continuous monitoring, enabling teams to scale AI across multiple use cases without extensive in-house expertise.