The AI Agent Kitfor Solana Devs

Everything you need for Solana development is here.Launch validators, RPCs, dApps, and trading bots at blazing speed.Build, run, and refine with Solana-specialized AI agents.

Download & install

$ curl -fsSL https://storage.slv.dev/slv/install | sh

$ curl -fsSL https://storage.slv.dev/slv/install | sh

Complete Onboarding

$ slv onboard

$ slv onboard

Start with Natural Language

$ slv c

$ slv c

Welcome to SLV

SLV: The AI Agent Kit for Solana Devs

Quick Start:

$ slv onboard - Setup AI Console (recommended)

$ slv c - Launch AI Console

Manual Setup:

$ slv validator init - Initialize validator config

$ slv validator deploy -n testnet

$ slv --help for more information

Global Data Center Partner

SLV AI - The AI Agent for Solana Devs

Manage Solana validators, RPC nodes, and app development through natural language. Complete onboarding with slv onboard, open the AI Console with slv c, and operate with built-in Solana skills in local mode or remote mode.

The SLV AI agent manages Solana nodes

No-code development with built-in Solana skills for validators, RPC nodes, and Solana apps.

Run SLV directly on the machine you SSH into, keep critical keys in the local environment, and work with the AI agent to handle setup, upgrades, migrations, validator operations, RPC node management, and Solana app development with a no-code workflow. It also supports more convenient remote management, and migrations are easy with AI.

SLV AI Tips

Quick guides on SLV AI usage, mobile workflows, and Discord webhook setup.

View all on YouTube

Delegate Solana Ops to Specialist Agents

Validators, RPC, gRPC, and app development can all be completed in the natural language you already use every day.

There is no need to memorize complex CLI commands or dig through docs anymore. Every method in SLV is MCP-enabled, so once onboarding is complete, AI agents can use that same operational flow through natural language. It supports both local execution directly on the machine you SSH into and remote management across multiple nodes, while specialist agents handle node deployment and infrastructure setup and carry complex work forward from plain-language requests.

Every Method MCP-Enabled

Complete onboarding once, then start using AI agents across validator ops, RPC, Geyser, and app development from day one.

Because every SLV method is MCP-enabled, AI agents can call the same tools you would use manually. The same foundation works for local execution on the machine you SSH into and for remote management as you expand to multiple nodes. Reusable skills and agent routing keep validator ops, RPC tuning, Geyser setup, and full app development aligned on one foundation as teams scale.