memoria-cli is a command-line tool that provides a local-first memory system powered by large language models. It allows developers to store, retrieve, and manage contextual memory for AI applications using the CLI. Below are 7 other ai apps with similar functionality to memoria-cli, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
memclaw is an open-source, local-first AI-powered personal memory assistant for the command line. It enables users to organize, search, and retrieve personal knowledge using vector search and AI, all while keeping data private and local. Ideal for developers and privacy-conscious users.
memoryhub-cli is an open-source CLI client for MemoryHub, offering a centralized and governed memory store for AI agents. It supports the MCP protocol and enables agents to share and retrieve structured data efficiently. Designed for AI agent developers and researchers.
nmem-cli is an open-source command-line and TUI tool for managing AI-powered memory and knowledge graphs. It supports the MCP protocol and is designed for developers who need efficient, local tools for AI memory management and structured data querying.
Memoria is an open source memory hygiene tool for Windows, offering both a user-facing tray application and a headless CLI for automated cleanup. It helps IT professionals and agents maintain optimal system performance.
cmem-cli is an open-source command-line tool that provides persistent component memory for Claude AI sessions using a directed acyclic graph (DAG) structure. It helps developers manage and organize session memory efficiently for advanced AI workflows.
Persistent memory graph for AI agents — store, recall, and connect knowledge across conversations.
memory-doctor is an open-source command-line tool designed to help developers maintain and manage file-based memory systems used by Claude Code and OpenClaw. It streamlines routine maintenance tasks, ensuring efficient operation for projects relying on these memory architectures.