Search cross-agent Markdown memory and conversation history with memsearch

Give supported coding agents a shared Markdown-first memory layer so they can recall prior decisions, transcripts, and notes across sessions instead of re-deriving context from scratch.

Prerequisites

Supported coding-agent client, local filesystem access, default local Milvus/ONNX setup or another configured embedding provider

Installation

Use the upstream install or setup path that matches your environment:

• uv tool install memsearch # via uv
• pipx install memsearch # via pipx
• pip install memsearch # plain pip
• uv add memsearch # via uv, adds to pyproject.toml

Requirements and caveats from upstream:

• <a href="https://pypi.org/project/memsearch/"><img src="https://img.shields.io/badge/python-%3E%3D3.10-blue?style=flat-square&logo=python&logoColor=white" alt="Python"></a>
• 👥 For Agent Users, install a plugin and get persistent memory with zero effort; for Agent Developers, use the full CLI and [Python API](https://zilliztech.github....
• Beyond ready-to-use plugins, memsearch provides a complete CLI and Python API for building memory into your own agents. Whether you're adding persistent context to a custom agent, building a memory-augmented RAG p...

Basic usage or getting-started notes:

• How Plugins Work (Claude Code as example)

• memsearch command or any of the agent plugins (Claude Code, Codex,

• OpenClaw, OpenCode), which all shell out to the CLI.

• Source: https://github.com/zilliztech/memsearch

• Extracted from upstream docs: https://raw.githubusercontent.com/zilliztech/memsearch/HEAD/README.md

Documentation

• https://github.com/zilliztech/memsearch#readme

Source

• Agent Skill Exchange