Quivr is an AI-powered, open-source platform designed to transform private and enterprise knowledge into personal and interactive assistants called 'Brains'. These assistants can manage and interact with various types of data, including documents, emails, and APIs, providing users with a knowledgeable resource that learns and grows with usage. Enterprises can connect Quivr to their tools, databases, and documentation to create highly specialized and efficient virtual assistants.

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.

Dust is an AI-powered platform that allows businesses to create customized virtual assistants tailored to their specific needs and workflows. The platform offers a range of features designed to improve productivity and streamline operations, enabling teams to break down knowledge silos and collaborate more effectively. By utilizing large language models and semantic search, Dust helps organizations craft optimized communications, onboard new employees, and manage data-augmented tasks efficiently.