SuperLocalMemory

Locally prioritized AI agents share their memories.

SuperLocalMemory

Introduction

SuperLocalMemory serves as a shared “memory system” for various AI agents. Whether it’s Claude Code, Codex, Cursor, ChatGPT, or any other agent that supports MCP or command-line interfaces, all of them can read from and write to this same memory pool, eliminating the need to repeatedly explain the background context within each individual tool.

It has two main selling points: First, it prioritizes local storage, meaning that the data is stored on your own computer. The slogan is “You can rent the model, but you must own its memory.” Second, there are clear rules in place for handling data; if information cannot be found, a direct response will be given: “I don’t have this record,” rather than making up arbitrary answers.

It is compatible with Windows, Linux, and macOS, and can be installed in just one command using npm or pipx. It is available for free and is ideal for developers who need to use multiple programming agents simultaneously and are tired of repeatedly providing context data to these tools.


Visits:15
Updated:2026-11-07
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