Pale Fire is an experimental framework by Slava Tykhonov, hosted by AgStack of the Linux Foundation, that integrates LLMs with knowledge graphs for intelligent search and narrative generation from raw data.

It features question-type detection, NER for 18+ entity types, 5-factor ranking, CLI/API interfaces, file parsing from multiple formats, and an AI agent daemon using providers like Ollama and Google Gemini. The system converts data points, such as a strike event with date and location, into contextual narratives enriched with weather, witness accounts, and temporal links from the graph.