> For the complete documentation index, see [llms.txt](https://feeda.gitbook.io/litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://feeda.gitbook.io/litepaper/3.-platform-structure.md).

# 3. Platform Structure

### 3.1 Feeda Knowledge Base (KBS)

The Feeda Knowledge Base (KBS) is a repository of curated, verified, and continuously updated information that serves as the foundation of Feeda’s AI ecosystem. The KBS combines human expertise with machine learning, ensuring that it offers relevant, factual, and contextually rich information.

### 3.2 Feeda AI Applications and Agents Network

Feeda’s AI applications and agents work together within a unified network, drawing on the KBS to provide contextually aware responses across different use cases. This interconnected system allows applications and agents to learn from each other, creating a cohesive and responsive digital ecosystem for users.

### 3.3 Feeda aiOS: The Operating System for AI-Native Applications

Feeda aiOS enables seamless interaction among Feeda’s applications and agents, providing a foundation for real-time knowledge sharing and personalized AI-driven experiences. Designed as the next-generation operating system, Feeda aiOS is tailored for continuous learning, personalization, and real-time user support.


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