Mem0 is itself an open-source project (Apache-2.0) — a memory layer for AI agents with multi-signal retrieval and temporal reasoning, with over 57,000 GitHub stars. So this isn't about escaping a closed vendor; it's about picking between open-source approaches to giving AI agents persistent memory.
Supermemory tackles the same problem with a different retrieval design: hybrid vector search combined with an ontology-aware graph, aimed at sub-100ms retrieval. If your priority is fast, low-latency lookups at scale, Supermemory's approach is worth benchmarking against Mem0 directly for your workload.
FAQ
Is there a free, open-source alternative to Mem0?
Mem0 is already open source and free. Supermemory is another MIT-licensed option in the same space, built around hybrid graph and vector retrieval.
What's the best open-source alternative to Mem0?
Since Mem0 is already open source, the choice comes down to retrieval architecture: Supermemory is worth evaluating if low-latency, graph-aware retrieval matters more to your use case than Mem0's temporal reasoning features.
What are the top open-source alternatives to Mem0?
Browse all open-source alternatives to Mem0 above, or explore the full Vector Database category for more options.