Mnemosyne-OS/Mnemosyne-Neural-OS

**Open to build on · Private at the core**
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*Everyone is building the intelligence. Mnemosyne OS builds the **relationship**: the memory that makes an AI truly know you, across sessions and across time. On your machine. Yours to see.*
**→ Why the relationship layer**
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🔏 Every installer above is **cryptographically attested** to this exact repo, workflow
and commit, via GitHub Artifact Attestations
(Sigstore-backed build provenance). Don't take the download on faith: verify the file
you got matches what our CI actually built:
🌐 **mnemosyne-os.io**, the product, for builders · **mnemosyne-os.com**, the company, press & labs · 📖 **docs.mnemosyne-os.io**, the user guide
---
> [!IMPORTANT]
> **📚 New in 1.8.0 · The Library.** Knowledge apps in the MnemoHub download public
> knowledge into vaults of their own: laws, history, health, science and languages. You
> ask the chat, and it answers from them. Hand gestures are out of beta. Every app in the
> Hub has its own page, and a Dev section plugs your coding agents into your memory.
>
> **→ The release notes** · MnemoHermes, your memory on Telegram
> [!TIP]
> **📖 The user documentation is live at docs.mnemosyne-os.io**, with every engine explained step by step, in
> English · Français · Español.
For developers
| | |
|---|---|
| 🔌 **Give your coding agent a memory** | npx -y @mnemosyne_os/mcp connects Claude Code, Cursor or Claude Desktop to your vaults. Setup guide |
| 🧩 **Build an app on the memory** | npm create @mnemosyne_os/app scaffolds a cartridge that talks to the SDK. Build on Mnemosyne OS |
| 📖 **Learn from real cartridges** | Their full source is public. Clone one |
| 🧠 **Index your agent's own notes** | Point a vault at .claude, .cursor or .aider. Two doors between your IDE and your memory |
🌍 Fully multilingual: the OS speaks your language
The **entire interface is localized in seven languages**: onboarding, settings,
chat, the voice assistant, every dialog. Switching language even re-selects the
★ recommended embedding model for it, so **retrieval quality follows your
language**, not just the labels. Open windows pick the change up instantly.
| | Language | | Status |
|---|---|---|---|
| | **English** | Your memory. Your machine. Your rules. | Stable |
| | **Français** | Ta mémoire. Ta machine. Tes règles. | Stable |
| | **Español** | Tu memoria. Tu máquina. Tus reglas. | Stable |
| | **Deutsch** | Dein Gedächtnis. Deine Maschine. Deine Regeln. | Beta |
| | **Português** | Sua memória. Sua máquina. Suas regras. | Beta |
| | **Русский** | Твоя память. Твоя машина. Твои правила. | Beta |
| | **中文** | 你的记忆。你的机器。你的规则。 | Beta |
*Sovereign, local-first memory, in your language: un système d'exploitation de
mémoire souverain et local · un sistema operativo de memoria soberano y local ·
ein souveränes, lokales Gedächtnis-Betriebssystem · um sistema operacional de
memória soberano e local · суверенная локальная операционная система памяти ·
主权的本地优先记忆操作系统.*
---
Not another agent-memory library
Mem0, Zep and Letta give *agents* a memory layer you wire into a cloud stack.
**Mnemosyne OS is the control surface for your memory, your agents and your
models**, and it runs on your machine. You choose which model may read your
memory, and a human governs it. On LongMemEval-M holdout questions, never used
to tune the engine, it scores **77.1%** in hybrid mode: embeddings and search on your machine, answers
from a cloud model, gemini-3.8-flash (audit it
yourself).
The AI that remembers *you*, not infrastructure you plug into someone else's.
Where the project lives
Published by **XPACEGEMS LLC**. These are its official addresses:
| | |
|---|---|
| **Product** | mnemosyne-os.io |
| **Organizations** | mnemosyne-os.com |
| **Documentation** | docs.mnemosyne-os.io |
| **Source** | this repository |
| **Packages** | the npm scope @mnemosyne_os: the list |
---
Why call it an "OS"?
Not because it has a kernel or drivers. Because it does what an OS does:
**it manages resources on behalf of processes that shouldn't have to manage them
themselves.** Linux does that for programs (CPU, RAM, disk, network). Mnemosyne OS does
the same thing for **AI agents**, and the resources are just different:
| An agent needs | Mnemosyne OS manages it via |
|---|---|
| **Memory** | Vaults, SQLite + vector stores, partitioned by domain, with AES-256 encryption at rest you arm |