TinyHumans Intelligence is a technology company dedicated to building practical AI products designed to enhance human and team efficiency in thinking, remembering, and execution. The organization focuses on creating private, powerful, and accessible AI solutions that bridge the gap between complex machine intelligence and daily user needs, ranging from personal assistants to robust infrastructure for AI systems. By leveraging advanced memory architectures and local model processing, TinyHumans aims to provide tools that simplify workflows and consolidate disparate AI services into unified experiences.

The core functionality of the ecosystem revolves around two primary product lines: OpenHuman and NeoCortex. OpenHuman serves as a personal AI superintelligence interface for end-users, while NeoCortex acts as a high-performance memory infrastructure engine for developers. Together, these components facilitate the management, storage, and retrieval of vast amounts of contextual information, allowing AI systems to understand a user's world through data from emails, documents, and other digital interactions.

Some of the key features are:

• One-Subscription Access: Users gain access to over 30 different AI providers through a single subscription, eliminating the need to manage multiple accounts.
• High-Capacity Memory: OpenHuman supports up to 1 billion tokens of memory, allowing the system to store comprehensive historical data about the user.
• Personalized Learning: The system captures and learns from user context across various mediums, including screen activity, text, and email communications.
• Privacy-Focused Architecture: Sensitive low-level tasks, such as summarization, are handled by local AI models to keep data processing off the cloud.
• Developer-Friendly Integration: NeoCortex provides robust SDKs for Python, TypeScript, and Rust, enabling developers to integrate AI memory into their own production systems quickly.
• Scalable Infrastructure: The platform offers a pay-as-you-go pricing model, allowing developers to start with generous free limits and scale as their application usage increases.

Operationally, the platform allows users to get started in minutes by connecting their digital world, such as Notion or Gmail, with minimal configuration. For developers, NeoCortex is used by installing the memory engine library and utilizing the API client to ingest and recall specific memory chunks based on defined namespaces. This programmatic approach ensures that AI applications can access relevant context with speed and reliability, supporting both simple and advanced configurations depending on the specific requirements of the project.

Some common use cases include:

• Personal Productivity Enhancement: Using OpenHuman to summarize emails and organize digital tasks based on a deep understanding of the user's past behaviors and preferences.
• AI System Memory Layering: Integrating NeoCortex into custom production AI agents to provide persistent and accurate long-term memory for specific user or domain data.
• Cross-Platform Knowledge Management: Aggregating information from disparate sources like commits, messages, and documents into a centralized, queryable AI context.
• Private Task Automation: Utilizing local model processing within OpenHuman to perform automated summarizing and tooling tasks without exposing sensitive information to external cloud environments.