Featured Project

MemorAI

A persistent memory system for local large language models.

PythonSQLiteVector DBLocal LLMREST API

The Problem

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 I Built

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.

Why It Matters

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.

What It Proves

Local AI infrastructure design, vector database integration, memory architecture, REST API development, and the ability to build foundational tools for emerging AI paradigms.

Demo

Video demo coming soon

Key Capabilities

Persistent memory across LLM sessions
Hybrid architecture: vector search + structured storage
User-owned and locally stored memory
Editable memory entries with full user control
Semantic retrieval for association-based recall
REST API for integration with any local LLM setup

Interested in something like this?

Let's talk about how I can build a custom solution for your needs.