OpenMemo is an open-source memory architecture designed for AI systems and agents. It organizes knowledge using MemCells and hierarchical scenes, enabling long-term recall and reasoning. Below are 18 rag, search & retrieval apps with similar functionality to OpenMemo, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Memoir is an open-source infrastructure library that provides taxonomy-structured, Git-versioned memory for AI agents. It enables explainable, local-first storage with features like branching and recall by path, supporting developers building advanced AI agents and custom runtimes.
Memanto is an open-source memory agent that provides persistent, local memory and information-theoretic search for AI agents. It integrates with popular agents, runs entirely on the user's machine, and requires no API keys or external vector databases. Designed for developers building advanced AI agent workflows.
Memori is an agent-native memory infrastructure layer for AI systems, turning agent execution and conversations into structured, persistent state. It enables developers to capture, classify, and recall facts, preferences, rules, and summaries from chat interactions, supporting targeted recall and semantic search. Designed for production AI, it helps teams manage and enrich conversational context efficiently.
mymem0ry is an open-source personal memory system for AI coding agents, providing offline semantic search, cross-agent handoffs, and zero API key requirements. It is designed for developers building autonomous AI agents that need persistent, shareable memory.
AgentMem is a universal memory layer for AI agents, offering persistent, searchable, and synced context across frameworks like LangChain, CrewAI, OpenAI, and Claude. It provides an API and CLI for storing, retrieving, and syncing agent memories, helping developers build more context-aware agentic systems.
Memobase is a platform for AI agents and developers that provides persistent memory and context continuity. It captures and distills context from agent interactions, enabling more intelligent and personalized AI tools. It offers both CLI and web interfaces.
memosq is an open-source framework that provides persistent, cross-agent memory for AI coding assistants. It leverages semantic search and SQLite to store and retrieve contextual information, enabling more effective and context-aware AI agent collaboration.
Memo AI is an AI-powered knowledge workspace that allows users to upload PDFs, videos, websites, and text, then generate flashcards, notes, practice tests, and guided walkthroughs. Designed for students, educators, and professionals, it streamlines learning and information management with AI-driven tools. Available for desktop platforms.
Mem0 is an infrastructure platform that provides persistent memory for AI agents and applications. It enables context retention across sessions, making it easier for developers to build smarter, more personalized AI systems. Designed for integration via API and SDK.
MemBrain is an infrastructure platform that provides persistent, self-evolving memory for AI agents. It enables developers to store, traverse, and recall knowledge graphs and reasoning paths via API or CLI, supporting integration with any LLM through MCP or REST.
AutoMem is an open-source infrastructure tool that provides persistent memory for AI agents via MCP and HTTP interfaces. It supports both local and cloud deployments, enabling agents to store and recall structured and semantic data efficiently.
memoir is an open-source CLI tool that enables persistent AI memory and context across multiple tools and machines. It supports end-to-end encryption, MCP protocol, and conflict-free merging, helping developers retain AI context and rationale regardless of their environment.
MemMachine is an open-source memory layer designed for AI agents, allowing them to store, recall, and manage user data and preferences across sessions. It supports multi-agent and multi-session memory, helping developers build more context-aware and personalized AI assistants.
Memorae acts as a memory layer above all your apps, consolidating reminders, lists, and briefings into a single, organized system. It helps users manage information overload by unifying context and providing actionable insights across platforms. Suitable for professionals seeking better productivity and organization.
AgentRecall is an open-source SDK that equips AI agents with persistent, intelligent memory, allowing them to store, search, and recall information across sessions. It supports graph relationships, semantic search, and multi-agent scenarios, making it ideal for developers building advanced AI agent systems.
MEMM is an open-source, local-first AI-native app that creates a persistent, file-based memory for your AI assistants. It helps users and their AI retain and refine knowledge over time, improving context accuracy and reducing redundant explanations. MEMM is cross-platform, privacy-focused, and integrates with MCP for universal AI memory.
claude-mem and cmem are open-source tools that provide persistent memory and Model Context Protocol (MCP) integration for AI agents. They enable agents to retain, sync, and recall context across sessions, supporting both local and cloud deployments for developers building advanced agent frameworks.
DeepMemo is an AI-powered web tool and browser extension that lets users save highlights from the web, organize them with AI-generated tags, and search or chat with their personal knowledge base. It is designed for individuals who want to efficiently manage and retrieve information from their digital reading.
