Comparisons¶
How Semvec relates to the other LLM-memory layers Python developers commonly evaluate.
| Comparison | Type | Headline |
|---|---|---|
| vs mem0 | Architectural + head-to-head benchmark | LongMemEval-S: 42.8 % vs. mem0 36.2 %, 17× faster, zero ingest LLM calls |
| vs Letta (MemGPT) | Architectural only (not benchmarked) | Math-driven state vs. LLM-managed memory paging |
| vs LangChain Memory | Architectural only (not benchmarked) | Single O(1) memory layer vs. a family of memory classes you compose |
We have only run a head-to-head benchmark against mem0. The Letta and LangChain Memory pages describe architectural differences only, not measured performance gaps.