MemSearch is a cross-platform semantic memory layer for AI coding agents that stores human-readable Markdown memories and indexes them with Milvus for searchable retrieval. It is used by agent users who want persistent context and by developers building memory features into agents across tools such as Claude Code, Codex, DeepSeek Harness, OpenClaw, and OpenCode. Catalogue add-ons provide the hooks, skills, and plugin workflows that capture, retrieve, and maintain this memory.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/zilliztech/memsearchWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/zilliztech/memsearch/claude-code)<a href="https://agentmods.dev/plugins/zilliztech/memsearch/claude-code"><img src="https://agentmods.dev/badge/plugins/zilliztech/memsearch/claude-code/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/zilliztech/memsearch/claude-code"><img src="https://agentmods.dev/badge/plugins/zilliztech/memsearch/claude-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
memsearch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "memsearch",
"version": "0.4.20",
"description": "Automatic semantic memory for Claude Code — remembers what you worked on across sessions"
}
What it installs
The manifest is a name and a version. 1 skill, 4 hooks travel with it, and installing the plugin installs all of them — 152 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed 63ecb3e9bdb5
- 1mo ago First seen · 6 lines scan A 96281f36ffc4
memsearch is a plugin published in the GitHub repository zilliztech/memsearch (2,751 stars, last pushed 7d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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