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CommunityTools & Integrations2.6k starsVerified 2026-09-22

MemSearch

A cross-platform memory layer for AI coding agents: conversations from Claude Code, Codex, DeepSeek Harness, OpenClaw, and OpenCode become Markdown memories indexed in Milvus, with optional Jev reranking through the TypeSafe API.

Open github.comzilliztech/memsearch
Category
Tools & Integrations
Published by
Community
Author
zilliztech
Added
2026-09-22
Tagscommunitypythonagentssearchrerankingclaude-code

Highlights

  • Optional Jev reranking runs through the TypeSafe API with no local model download, and ships with a Chinese/English reranking evaluation.
  • Markdown is the source of truth and Milvus is a derived, rebuildable index; SHA-256 content hashing skips unchanged files and a watcher auto-indexes.
  • Recall is three layers — search, expand, then transcript — over dense vectors plus BM25 sparse and RRF reranking.
  • A third procedural-memory layer distills repeated workflows into installable skills that follow the open Agent Skills standard.
  • Defaults to local ONNX bge-m3 on CPU with no API key or cost; the roughly 558 MB model downloads from Hugging Face on first launch.

Quickstart

bash
/plugin marketplace add zilliztech/memsearch
/plugin install memsearch

Watch out

MIT-licensed. Plugins exist for Claude Code, Codex, DeepSeek Harness, OpenClaw, and OpenCode; Jev reranking needs a TypeSafe API key, and multi-user setups need a Docker-hosted Milvus.

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From the community

Posts from builders shipping with Jev right now.

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Arsh - 16 y/o builder
Arsh - 16 y/o builder
@be_arsh
·

cua open sourced a 706k param model that fills a whole form in one 50ms pass the llm agent doing the same form took 23 turns and 39.6 seconds the specialists are going to eat the generalists from the bottom

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@trycua

1/ Introducing CUA-S1: a family of System One Models, small, specialized, and built for computer use. Today we're open-sourcing CUA-S1-FORMS, the first in the family: github.com/trycua/cua

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Navigating Neo4j with Jev

思维怪怪
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@0xLogicrw
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思维怪怪
思维怪怪
@0xLogicrw

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Reranking 33,047 catalog entries

Jason Zhu
Jason Zhu
@GoSailGlobal
·

拿 Jev 做搜索重排，我先泼一盆冷水：单独用，它没打赢向量检索 TypeSafe 的 Jev 这阵子很火，一堆项目拿它做重排。我们在 Agent Skills Hub 的 33,047 条目录上认真测了一次，164 条中英文真实查询，9,831 对分级标注，整套只花了 2.6 美元 三个结论 01｜单独重排，约等于没赢 Jev 重排 bge-m3 Show more

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Jason Zhu
Jason Zhu
@GoSailGlobal

有美团、阿里的老哥嘛？ 试试加一路召回、重排（离线、近实时实现），我觉得有奇效 他在文本理解上 跟之前机器学习、llm很不一样 还能自动打标签做特征

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Six uses that stuck after 60 days

Security decisions that fit Jev

Kostas
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·

This made me rethink where AI actually fits into security engineering. For purely engineering work, forget about ChatGPT or Claude. TypeSafe AI just released Jev, and I think it’s going to change how we build AI into security workflows. Instead of asking an LLM to “investigate Show more

TypeSafe AI
TypeSafe AI
@typesafeai

we are officially out of stealth! join the frontier and get access to Jev on our website (link on profile)

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