SimpleMem and memsearch
SimpleMem provides a general-purpose lifelong memory framework for LLM agents with vector storage and retrieval optimization, while MemSearch offers a Markdown-first memory interface layer that could complement SimpleMem by providing structured memory formatting and search capabilities on top of it.
About SimpleMem
aiming-lab/SimpleMem
SimpleMem: Efficient Lifelong Memory for LLM Agents
This tool helps your AI agents remember information across long conversations and even multiple sessions, preventing them from 'forgetting' past interactions. You feed it text, images, audio, or video, and it processes and stores these as 'memories.' When your AI agent needs information, SimpleMem retrieves the most relevant details based on meaning, enabling more coherent and informed responses for anyone building or managing AI assistants.
About memsearch
zilliztech/memsearch
A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.
This project offers persistent, cross-platform memory for AI coding agents. It automatically captures your conversations with agents like Claude Code or OpenClaw and stores them as human-readable Markdown files. This allows the AI agent to recall past discussions, providing context for ongoing tasks. It's designed for developers who use AI coding agents to assist with their daily programming workflows.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work