The latest release of mem0ai/mem0 is ts-v3.3.1. This repository provides a memory layer that drops straight into AI agents and apps. It extracts memories from conversations and stores them, then later retrieves the relevant memories and injects them back into incoming requests.
Mem0 is a long-term memory layer at the user, agent, and session level. The README explains that it remembers user preferences so it can respond to individual needs, and that it maintains User, Session, and Agent state. The repository description says it was designed to keep context continuous and to be usable in real services. It offers an intuitive API and cross-platform SDKs, and is used for AI assistants, customer support, healthcare, productivity, and gaming in both self-hosted server and managed service forms. The implementation language is Python and the license is Apache-2.0. The repository was created on June 20, 2023 and currently has 67564 stars.
However, because no changelog is provided, what changed in ts-v3.3.1 cannot be known. The release notes have to be checked directly on the GitHub repository. There are no performance figures, benchmark results, or comparison material against other memory approaches either. The only score left in the research record is a momentum of 7.3 (out of 10), with the freshness, technology, and quality scores empty. The memory-layer structure and the Apache-2.0 license are confirmed, but whether it is better than other approaches is too early to judge from this record alone.