Show HN: A persistent fact store for AI world simulations (github.com)

Worldify has launched a persistent fact store designed for AI world simulations, providing a structured approach to storing and querying facts about entities with temporal validity and causal tracking. By leveraging SQLite for data persistence and requiring no external dependencies, Worldify enables developers to track states that change over time, maintain persistent memory for AI agents, build knowledge graphs, create reproducible simulations, and audit state changes. This functionality is valuable for applications such as chatbots, game development, and AI agents requiring a robust knowledge base. The significance of Worldify lies in its potential to enhance AI systems by allowing for the effective maintenance of historical data and causal relationships, which are critical for decision-making in dynamic environments. Key technical features include the ability to assert facts with associated timestamps, maintain confidence scores, and store relationships between entities. The tool also provides snapshot capabilities for restoring states, which can help in building more sophisticated AI interactions by retaining knowledge across sessions and simulations, ultimately fostering more intelligent and responsive systems.