Project O.L.I.V.I.A.

AI companion with persistent memory, voice, and dreaming

About This Project

Project O.L.I.V.I.A. started as a question: what would it take to build an AI companion that actually remembers you? Not just within a single conversation, but across weeks and months of interaction. The result is an experimental system that pushes the boundaries of personal AI — combining persistent memory, natural voice, and a unique "dreaming" mechanism.

At its core, O.L.I.V.I.A. uses vector embeddings to store and retrieve memories from past conversations. But raw retrieval isn't enough — the "dreaming" system periodically consolidates memories, finding patterns and connections that inform future interactions. This gives the AI a sense of continuity that feels qualitatively different from typical chatbots. The personality layer sits on top, evolving subtly based on interaction patterns while maintaining a coherent identity.

The technical stack is built for experimentation. FastAPI serves the backend with LangChain orchestrating the AI pipeline. Redis provides fast caching for active conversation context, while a vector database handles long-term memory storage. Voice interaction uses real-time speech synthesis for natural conversations. The project remains actively developed, with the core architecture open-sourced to gather community feedback and contributions.

Key Features

• ◆Persistent memory across conversations using vector embeddings
• ◆Natural voice interaction with real-time speech synthesis
• ◆"Dreaming" system that consolidates and reflects on past interactions
• ◆Evolving personality that adapts based on interaction patterns
• ◆Context-aware responses using RAG pipeline

Challenges

Outcomes

• ✓Successfully maintains coherent personality across 1000+ interactions
• ✓Memory consolidation reduces retrieval noise by 40%
• ✓Open-sourced core architecture for community feedback

Tech Stack