A local-first memory system that provides persistent context across multiple AI tools and applications. Keeps conversation history and insights in one unified layer compatible with Claude, Cursor, and other MCP-enabled tools.
piia-engram is a memory management tool that creates a unified, persistent memory layer for AI agents and applications. It allows AI tools to maintain and share context across sessions and platforms, ensuring continuity in conversations and decision-making. The tool operates on a local-first architecture, giving users complete control over their data while maintaining compatibility with the Model Context Protocol (MCP) standard.
As an MCP-compatible server, installation typically involves: 1) Cloning the GitHub repository, 2) Installing Python dependencies, 3) Configuring the MCP connection in your AI tool's settings, 4) Starting the local server. Full instructions are available in the project's GitHub documentation.
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