ReMe

ReMe gives AI agents memory that survives past a single session. Agents forget everything when the context window fills up or a new conversation starts, and ReMe fixes that by storing what matters and feeding it back later. It's free and open source under Apache-2.0.

It offers two flavors. The light version keeps memory as plain markdown files organized by date, compresses long conversations into summaries, and trims verbose tool output, no infrastructure required. The vector version uses embeddings to store user preferences, task patterns, and tool experience, then retrieves them by meaning. You wire either into your agent's reasoning loop.

The catch: memory for agents is a crowded, unsettled space, and ReMe is one approach among several (mem0 and others compete here). The markdown mode is easy to start with; the vector mode adds an embedding model and a store to run and maintain. Good to try if you're building agents that need to remember. Don't expect a finished standard yet.