zilliztech/memsearch
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
About memsearch
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
memsearch is one of 29 projects listed under Memory & Context on DSHToolkit. Memory layers, context managers and retrieval tools that give DSH agents persistent recall.
Installation
git clone https://github.com/zilliztech/memsearch.git
cd memsearch
# follow the README for install steps
Most DeepSeek Harness plugins install as npm packages or DSH extensions. After installing, restart DSH so the plugin registers. If the project ships a desktop client or a plugin market, you can install it with one click instead.
Install and configure memsearch
git clone https://github.com/zilliztech/memsearch.git
cd memsearch
pip install -e .
# then point DeepSeek Harness at the local package per its README
Python projects here ship as importable packages, so an editable install keeps your checkout and the runtime in sync while you evaluate it.
Configuration
# dsh.config.py — typical registration shape
plugins = [
# confirm the exact import path in the README before using this
"memsearch",
]
Registration shapes vary between plugins. The snippet above shows the common case — " copy the exact name from the README rather than trusting this example verbatim.
Is it the right choice?
- Choose it if you want something established but not ubiquitous — 2,782 stars is enough for real usage, small enough that the maintainer still answers issues.
- Licensing is MIT, which is permissive enough to vendor into a commercial product without a legal review.
- Stack: written in Python. If your team does not work in that language, every fix becomes a research task.
Things that commonly go wrong
- Version drift. DSH is young and moves fast. A plugin that worked three months ago may target an API that has since changed. Check the last commit date before you plan around it.
- No sandbox guarantee. Plugins run with the runtime's permissions. Read the source of anything that touches your filesystem, shell or API keys before installing it.
- Single maintainer risk. Most projects here are one person's side work. That is fine for a utility, risky for infrastructure you depend on.
Star history
First observation recorded today. Star history starts accumulating from here, so this section will show real movement once there is more than one data point.
Details
| Language | Python |
|---|---|
| License | MIT |
| Stars | 2,782 |
| Last updated | 2026-10-23 |
| Category | Memory & Context |
| Homepage | https://zilliztech.github.io/memsearch/ |
FAQ
What is memsearch?
memsearch is a DeepSeek Harness plugin by zilliztech. A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
How do I install memsearch?
Clone or install from the repository at https://github.com/zilliztech/memsearch, follow the README install steps, then restart DeepSeek Harness. Plugins are usually npm packages or DSH extensions.
Is memsearch free?
memsearch is published under the MIT license. Check the repository for the current terms.
How popular is memsearch?
memsearch has 2,782 GitHub stars and was last updated on 2026-10-23.
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