memsearch

What it is

Cross-platform semantic memory for AI coding agents.

The homepage listed on the repository, zilliztech.github.io, puts it like this: Cross-platform semantic memory for AI coding agents — markdown-first, backed by Milvus

What the README says it does

• 🌐 All Platforms, One Memory — memories flow across Claude Code, Codex, DeepSeek Harness, OpenClaw, and OpenCode. A conversation in one agent becomes searchable context in all others — no extra setup
• 👥 For Agent Users, install a plugin and get persistent memory with zero effort; for Agent Developers, use the full CLI and Python API to build memory and harness engineering into your own agents
• 📄 Markdown is the source of truth — inspired by OpenClaw. Your memories are just .md files — human-readable, editable, version-controllable. Milvus is a "shadow index": a derived, rebuildable cache

From the project’s README.

Where the decision sits

memsearch calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev.

How active it is

Created 2026-02-09, last pushed 2026-10-27, 2,814 stars and 278 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.