Safe & secure NEMA wallet
Take control of your NEMA assets with complete confidence in the Trezor ecosystem.
- Secured by your hardware wallet
- Use with compatible hot wallets
- Trusted by over 2 million customers

Send & receive your NEMA with the Trezor Suite app
Send & receive
Trezor hardware wallets that support NEMA
Sync your Trezor with wallet apps
Manage your NEMA with your Trezor hardware wallet synced with several wallet apps.
Trezor Suite
Backpack
NuFi
Supported NEMA Network
- Solana
Why a hardware wallet?
Go offline with Trezor
- You own 100% of your coins
- Your wallet is 100% safe offline
- Your data is 100% anonymous
- Your coins aren’t tied to any company
Online exchanges
- If an exchange fails, you lose your coins
- Exchanges are targets for hackers
- Your personal data may be exposed
- You don’t truly own your coins
How to NEMA on Trezor
Connect your Trezor
Open a third-party wallet app
Manage your assets
Make the most of your NEMA
Trezor keeps your NEMA secure
Protected by Secure ElementThe best defense against both online and offline threats
Your tokens, your controlAbsolute control of every transaction with on-device confirmation
Security starts with open-sourceTransparent wallet design makes your Trezor better and safer
Clear & simple wallet backupRecover access to your digital assets with a new backup standard
Confidence from day onePackaging & device security seals protect your Trezor’s integrity
Project Nema is a research initiative enhancing AI memory and companionship by integrating the C. elegans neural connectome with a large language model (LLM). The LLM translates human language to interact with the worm's simulated brain, addressing LLMs' lack of persistent emotional or psychological states beyond context windows. This creates a stable, evolving neural state that retains history across sessions. For example, user inputs like "good morning Nema" fetch state and history for processing. Utilities include companionship, where Nema acts as the LLM's "soul" for long-term personality building, and dynamic adaptation mimicking life. It also aims to boost LLM outputs via extended memory. The project involves user management and visualizations.