Unabyss

Unabyss functions as an MCP-native, self-updating context layer designed to enhance the capabilities of AI agents. It allows users to connect their frequently used applications, such as email, Drive, GitHub, and Notion, enabling Unabyss to automatically extract, structure, and maintain up-to-date context. This consolidated information can then be shared with any AI tool through the MCP protocol, with precise control over what each AI can access. The primary goal is to eliminate the need for repetitive AI re-briefing and ensure AI agents operate with a comprehensive and current understanding of the user's data and needs. The problem Unabyss addresses is the inherent fragmentation of information across various applications and AI tools. Currently, AI agents like Claude or GPT often lack a unified understanding of a user's broader context, leading to inefficiencies and incomplete reasoning. For instance, an AI working on a project might not have access to relevant details from emails, documents, or code repositories, forcing users to manually provide this information repeatedly. This disconnect hinders the potential of AI to act as a truly integrated assistant, leading to wasted time and suboptimal outcomes. One of Unabyss's key features is its ability to extract and structure context from a wide array of daily applications. By connecting services like email, Drive, GitHub, Notion, and meeting recorders, Unabyss builds a comprehensive knowledge base. This structured data is crucial for AI to understand nuances and relationships that would otherwise be missed, leading to more informed and accurate responses. The system automatically updates this context, ensuring that the AI always has access to the latest information without manual intervention. Another significant capability is the seamless sharing of this context with any AI tool via the MCP (Memory, Context, and Prompting) protocol. This interoperability is vital for creating a cohesive AI ecosystem. Users can grant granular control over what specific AI tools can see, ensuring data privacy and security. This allows for tailored AI experiences, where each tool receives only the relevant information it needs to perform its task effectively, preventing information overload and potential misuse. Unabyss also excels in its ability to save and reuse context across different AI sessions and tools. Users can save context from one AI chat, such as in Claude, and then reuse it in another tool like Cursor or GPT. This creates a persistent memory that follows the user, ensuring that insights and information learned in one context are available in others. This feature is particularly valuable for complex projects where continuity and consistent understanding are paramount, moving beyond session-based AI interactions. The product's approach is MCP-native, meaning it's built from the ground up to integrate with the MCP protocol. This allows for a more direct and efficient transfer of context between applications and AI agents. Instead of relying on cumbersome workarounds or custom integrations for each tool, Unabyss acts as a central hub that standardizes context sharing. This simplifies the setup process and ensures that the context is always current and relevant. The benefits for users are manifold. By eliminating the need to re-explain context, Unabyss saves significant time and reduces user frustration. The consistent and accurate information provided to AI agents leads to sharper insights, better decision-making, and more effective task completion. The portable and private nature of the context ensures that users maintain control over their data while leveraging the full power of their AI tools. Concrete use cases for Unabyss include a founder juggling context across sales, marketing, and product development tools; a consultant needing to maintain consistent project context across client interactions; or a developer using multiple AI coding assistants that require up-to-date project information. For example, an AI assistant analyzing marketing campaign performance could access data from CRM, ad platforms, and website analytics simultaneously, providing a holistic view. Unabyss is designed for builders wiring up AI tools, founders managing context across multiple applications, and consultants working within diverse client environments. It integrates with over 20 applications, including Obsidian, HubSpot, Notion, Asana, and GitLab. The product is available via its website, with pricing details likely available upon inquiry or through specific plans. In essence, Unabyss provides a unified, dynamic, and secure context layer for AI, transforming how users interact with their digital information and AI assistants by creating a persistent, portable memory that enhances productivity and intelligence across all tools.