supermem is an open-source command-line tool that provides persistent AI memory using a four-tier retrieval system, integrating SQLite FTS5, graph, vector, and LLM agent layers. It is designed for AI developers and researchers seeking advanced memory and retrieval capabilities for language models.
supermem is a RAG, search & retrieval project. It focuses on enabling persistent, multi-modal AI memory and retrieval for LLM agents without relying on RAG. It is built as an open-source project for AI developers and researchers. supermem is open source under the Apache-2.0 license. It runs on the command line.
It is developed by lamenting-hawthorn, and it first shipped in 2025. Development happens publicly on GitHub with 26 commits in the last 90 days. Key capabilities include persistent memory, multi-tier retrieval, and LLM agent integration. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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