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