What it is
MemSearch gives AI coding agents (Claude Code, Codex, DSH, OpenClaw, OpenCode) a shared, persistent memory layer. Memories are Markdown files; Milvus is a rebuildable shadow index. It is for agent users wanting zero-effort recall and developers building memory into their own agents.
How it uses Jev
An optional Jev reranker reorders retrieved Markdown memory chunks. It sends Noul questions about each chunk and sorts them by relevance to the query, using the TypeSafe API with no local model download. Bilingual (Chinese/English) evaluation results are provided.
Primitives:noul
Technique worth stealing
Rerank retrieved Markdown chunks by asking a Jev Noul question per chunk and sorting by relevance.
Try it
memsearch config set embedding.provider onnx; see docs/home/configuration.md#optional-remote-reranking
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricno0.04
- Shows a System One patternno0.39
- Handles uncertaintyno0.06
- Measuredno0.12
- Runnableyes0.89
- Worth recommendingno0.31
- Model replicano0.04
- Problem scopescore on a 0–2 scale1.52
- About Jevyes0.86
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 22 Sept 2026.