Aiana AI Memory Server

Example Use Cases

• 1

  Persistent memory across sessions to improve task performance.

• 2

  Semantic search and context injection to recall relevant past interactions.

• 3

  Local, privacy-focused AI memory without cloud dependencies.

Description

Aiana transforms stateless Claude Code sessions into a compound learning system by capturing conversations, embedding them as vectors, and injecting relevant context at session start. It integrates multiple storage backends including SQLite, Redis, Qdrant, and Mem0 for enhanced memory management, enabling semantic search, user preference persistence, and session recall. The server runs fully locally, ensuring privacy and control over data, and supports Docker deployment for easy setup.