SLV AI - The Solana AI Agent

One command and you are in: install SLV, then onboard and open the AI Console to manage Solana in plain language. Run curl -fsSL https://storage.slv.dev/slv/install | sh to install, then slv onboard to configure your AI provider, model, and built-in Solana skills, and slv c to open the AI Console. If you want help with setup or migration, open the ERPC Web Dashboard at dashboard.erpc.global.

Run and operate Solana validators and RPC nodes by describing what you want, instead of hand-maintaining infra. SLV AI is a natural-language AI agent that manages Solana validators, RPC nodes, and Solana app development workflows in a no-code way. After onboarding you open the AI Console with slv c and work through setup, upgrades, migrations, validator operations, RPC node management, and app development by describing what you want. It runs in local mode or remote mode.

Local mode is the recommended starting point because you keep control: you open the AI Console on the machine you already SSH into and keep your critical keys in your local environment, so nothing leaves your control. From there you move through setup, upgrades, migrations, validator operations, RPC node management, and Solana app development together with the AI agent. Remote mode runs the AI Console away from that machine for when you need it.

No. SLV AI is a no-code workflow: you manage Solana validators, RPC nodes, and Solana app development through natural language in the AI Console. After running slv onboard to set up your AI provider, model, and built-in Solana skills, you describe tasks such as upgrades, migrations, and validator operations in plain language and the AI agent carries them through with you, so you operate production nodes without writing or maintaining scripts.

Run slv onboard after installing SLV to configure your AI provider, model, and built-in Solana skills. Onboarding sets up what the AI agent needs before you open the console, so when you run slv c the agent can help manage Solana validators, RPC nodes, and app development. For a full walkthrough, visit the SLV website at slv.dev.

Start in local mode. It is the recommended starting point because you open the AI Console on the machine you already SSH into and keep your critical keys in your local environment. Then just describe a task to the AI agent in the Console, such as a setup step, an upgrade, or a validator operation, and work through RPC node management and Solana app development in a single no-code flow. Remote mode also exists for when you need it.