Case
Python · SQLite · Vector DB · Local LLM
MemorAI
A persistent memory system for local large language models.
Constraint
Local LLMs are powerful but stateless; they forget everything between sessions. Without persistent memory, every conversation starts from scratch, making local models impractical for ongoing work that requires context and continuity.
What we did
A persistent memory system that gives local LLMs searchable, editable, user-owned memory. Uses hybrid vector + structured storage for both semantic and explicit recall, with a REST API for integration into any local LLM workflow.
Result
This is infrastructure for the future of private AI. As more people move to local models for privacy and control, memory becomes the critical missing piece. MemorAI solves it without requiring cloud services.