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.

Felvin is an innovative no-code platform designed to empower users to create, discover, and monetize AI-enabled applications without needing any programming skills. With its user-friendly interface, pre-built templates, and a supportive community, Felvin makes the process seamless for individuals and businesses. It is perfect for those who wish to leverage the latest in AI technology to build unique applications, from image generation to text processing, all simplified into a few clicks.

Typeblock is a no-code platform that allows users to create, share, and monetize AI applications effortlessly. It provides a user-friendly, Canva-like editor to design custom AI apps. Users can quickly build projects, incorporate AI functionalities, and deploy them without needing any technical skills. This platform aims to democratize AI app development, making it accessible for non-programmers and small businesses, thereby saving costs associated with hiring developers.