FaultLine aims to cut AI tokens by storing and recalling memory
FaultLine is a private system that stores what a person knows and brings it back when needed. It began as a two-level memory setup, with short-term memory in Qdrant and in . It now tries to build links between ideas as new information is added, and it grows an ontology of things and relationships over time.
When a question is asked, it aims to return only the information needed instead of adding extra . It combines a with so it can search by meaning and still return fuller stored records. People can confirm, correct, or remove .
It also has an `/extend` option that can pre-learn relationships from an AI model or from online sources. The practical goal is better RAG memory and recall with fewer tokens.
Key points
- Short-term memory uses Qdrant, while uses .
- The system creates links between ideas when new information is added.
- It grows an ontology to organize things and relationships.
- It tries to answer with only the needed memory to reduce tokens.
- Users can confirm, edit, or remove stored .