elite-longterm-memory-local

What problem does it solve?

Private, on-device memory management enables AI agents to remember context, preferences, decisions, and key events without sending sensitive data to external services. It provides a LanceDB-backed vector store and pure JavaScript embeddings to keep operations offline and private.

Core Features & Use Cases

• Local long-term memory with hot RAM (SESSION-STATE.md), warm vector store, and cold archive for structured decisions.
• Semantic recall via LanceDB vector search using pure-JS embeddings, enabling fast contextual recall.
• Auto-recall before agent start, manual memory_store/memory_recall/memory_forget tooling, and daily logs for human-readable archival.

Quick Start

Initialize the workspace, store a memory with memory_store, then recall relevant memories with memory_recall.