LuizEduPP/rememb

What it does

Rememb is a persistent memory solution designed for AI agents that enables long-term context retention across conversations and sessions. It organizes memory in sectioned entries (by project, user, context, etc.) and provides semantic search capabilities to retrieve relevant information efficiently. The tool operates entirely locally with JSON-based storage, requiring no external servers or complex configuration.

How to set up

Installation is straightforward: clone the repository from GitHub, install Python dependencies, and initialize the tool. No server setup or additional configuration is needed. The CLI provides intuitive commands for managing memory entries, and it integrates seamlessly with AI agents via the MCP (Model Context Protocol) server implementation.

Key features

• Sectioned memory entries organized by project, user, or context
• Semantic search for intelligent memory retrieval
• Command-line interface (CLI) for direct interaction
• Local JSON storage with zero server dependency
• Per-project memory scoping
• Cross-platform support (Python, macOS, Windows, Linux)
• MCP server integration for AI agent compatibility