X-Me is an innovative platform that utilizes AI technology to transform your selfie videos into realistic and highly customizable avatars. By uploading a selfie video of at least 10 seconds, the AI generates an avatar and clones your voice. Users can then input any text to make the avatar speak. This makes X-Me an ideal tool for creating engaging digital content for personal or professional purposes.

The Context-First AGI Cognitive Context Engine (CCE) Prototype provides a robust toolkit for developers to implement context-aware AI agents. It leverages vector embeddings to store historical user interactions, enabling efficient retrieval of relevant context snippets. The engine automatically summarizes lengthy conversations to fit within LLM token limits, ensuring continuity and coherence in multi-turn dialogues. Developers can configure context prioritization strategies, manage memory lifecycles, and integrate custom retrieval pipelines. CCE supports modular plugin architectures for embedding providers and storage backends, offering flexibility for scaling across projects. With built-in APIs for storing, querying, and summarizing context, CCE streamlines the creation of personalized conversational applications, virtual assistants, and cognitive agents that require long-term memory retention.