OpenMemory – Long-term, explainable memory for AI agents beyond vector search

Summary: OpenMemory is an open-source, self-hosted memory engine that provides AI agents with persistent long-term memory, enabling stateful and context-aware interactions without relying on vector search or retrieval-augmented generation (RAG). It supports any large language model (LLM) and offers fast, embeddings-free memory recall across conversations.

What it does

OpenMemory adds persistent, automatic memory extraction to AI systems, allowing them to retain and recall information over time. It integrates with any LLM and features a composable architecture for agent frameworks, chatbots, and custom AI applications.

Who it's for

It is designed for AI engineers, agent developers, researchers, and founders building AI-driven apps who need LLMs with real long-term memory capabilities.

Why it matters

OpenMemory addresses the limitation of LLMs forgetting context after a few messages by providing a scalable, explainable memory solution that enhances learning and reasoning over time.