MemoraEU is a universal memory layer designed for AI agents such as Claude, GPT, and Mistral, with a focus on privacy and European data residency. The platform provides persistent memory for AI agents, enabling them to retain and retrieve information securely. One of its key distinguishing features is client-side encryption using AES-256-GCM, ensuring that all content is encrypted before reaching the server. As a result, the server never has access to unencrypted user data, supporting a zero-knowledge architecture.
The service is hosted in France (OVH, Roubaix) and is compliant with the General Data Protection Regulation (GDPR), addressing the needs of users and organizations requiring stringent data privacy and European hosting. MemoraEU offers semantic search capabilities, allowing AI agents to perform advanced retrieval tasks over stored information. ai, Cursor, Windsurf, and ChatGPT, and provides SDKs for both Python and TypeScript, enabling developers to incorporate its features into their own applications.
MemoraEU is available under an open-source AGPL v3 license, and the MCP server component can be self-hosted, providing additional flexibility for organizations that prefer to manage their own infrastructure. The service offers multiple pricing plans: a Free tier, a Pro plan at 9 euros per month, and a Team plan at 29 euros per month. com, making the platform accessible to a range of users, from individuals to teams seeking secure, persistent AI memory solutions.
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MemoraEU sits in PulseGate's Memory & skills category. It focuses on providing a secure, persistent, and privacy-focused memory layer for AI agents and applications. MemoraEU is a B2B product aimed at AI developers and organizations needing secure agent memory. MemoraEU follows a freemium model, with paid plans starting at $10. It runs on the web, the command line, and API, and it can be self-hosted.
Behind MemoraEU is MemoraEU, based in France, and it first shipped in 2026. Key capabilities include persistent memory, client-side encryption, and MCP server. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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