How LUCI's Memory Architecture Works Under the Hood

Why Memory Matters

Most AI assistants forget everything the moment you close the window. LUCI takes a fundamentally different approach — every interaction builds on the last.

The Knowledge Graph

At the core of LUCI's memory is a hybrid knowledge graph that combines structured relationships with vector embeddings.

Entity Extraction

When LUCI observes your workflow, it doesn't just store raw text. It extracts entities — people, projects, documents, decisions — and maps the relationships between them.

Temporal Indexing

Every memory is timestamped and indexed along multiple dimensions. This means you can query by time, by topic, or by relationship.

Vector Store Integration

For semantic search, LUCI uses a high-performance vector store that enables natural language queries across your entire history.

Privacy First

All memory processing happens locally on your device. Your data never leaves your machine unless you explicitly choose to sync it.

What's Next

We're working on collaborative memory — allowing teams to share context while maintaining individual privacy boundaries.