SLV Adds Native Multilingual Support — Develop with Solana Nodes and AI Agents in Your Native Language
SLV has introduced native multilingual support, allowing users to interact with the Solana development tool and AI agents in their native languages, enhancing efficiency for its global user base from over 100 countries.
📋 Article Processing Timeline
- 📰 Published: April 15, 2026 at 03:15
- 🔍 Collected: April 14, 2026 at 19:01
- 🤖 AI Analyzed: April 19, 2026 at 15:22 (116h 20m after Collected)
ELSOUL LABO B.V. (Headquartered in Amsterdam, Netherlands, CEO: Fumitake Kawasaki) and Validators DAO are pleased to announce that SLV, an open-source Solana development tool they develop and operate, has launched native multilingual support in its latest version, v2026.4.13.1648.
SLV Official Website: https://slv.dev/ja
SLV GitHub: https://github.com/validatorsDAO/slv
By simply selecting a language in the onboarding wizard, users can now proceed with all guidance, from the wizard's instructions to interactions with AI agents in the AI Console, entirely in their chosen native language. The preset languages are English, Japanese, Chinese, Russian, and Vietnamese—a total of 5 languages. In addition, by selecting "Other" and entering any language name, support for languages other than presets is also available.
Why Native Multilingual Support — User Base Across Over 100 Countries and Efficiency Differences in Native Language Usage
The ecosystem centered around ERPC and SLV, operated by Validators DAO, attracts users from over 100 countries worldwide. Professionals such as Solana validator operators, Solana RPC operators, high-frequency traders, bot developers, infrastructure engineers, and researchers—who come from diverse countries and speak different native languages—use this platform daily to share insights on the practical operation of Solana infrastructure.
Historically, SLV has operated primarily in English. Technical documentation, the onboarding wizard, and even interactions with AI agents were all standardly in English. However, the majority of users are not native English speakers and are overwhelmingly more proficient in their own native languages. The ability to read and write in one's native language when using AI and software makes a significant difference in work efficiency.
This difference is particularly pronounced in interactions with AI agents. Accurately conveying one's intentions, understanding explanations in detail, and iteratively asking follow-up questions—the cycle of these actions can be performed in one's native language or not, leading to substantial variations in time and cognitive load for the same task.
We strongly recognized this latent demand and proceeded with SLV's native multilingual support. With this release, SLV has entered a phase where it can be delivered to a wider user base as a tool that can be used in one's native language.
Preset 5 Languages and "Other" — Prioritizing Widely Used Languages
When you launch the onboarding wizard, the language selection screen appears first. The preset languages are listed in order of user frequency within the Validators DAO user base, offering 5 languages.
English, Japanese, Chinese, Russian, and Vietnamese—in addition to these, selecting "Other" allows you to enter any language name. Users whose native language is not among the preset languages can also use SLV in their language simply by typing its name.
The selection of preset languages reflects the actual communication trends observed in the official Validators DAO Discord. On Discord, there has been a noticeable increase in users sending questions and feedback in their native languages, with Chinese communication being particularly prominent. Screenshots shared also frequently showed OS and terminal settings in languages other than English. The 5 preset languages were chosen based on these real-world usage patterns.
AI Console Also Operates in Native Language — Consistent from Interaction to Execution
Once a language is selected during onboarding, that setting is carried over to the AI Console. Explanations from AI agents, confirmation messages, security warnings, and operational result reports—all of these will be displayed in the selected language.
Users can request tasks from AI agents using natural language, read explanations provided in their native language, and ask follow-up questions in their native language. Upgrading validators, configuring Solana Geyser gRPC, setting up Solana Shredstream, starting DoubleZero clients, migrating nodes—all operations necessary for Solana infrastructure management can be performed in one's native language...
SLV Official Website: https://slv.dev/ja
SLV GitHub: https://github.com/validatorsDAO/slv
By simply selecting a language in the onboarding wizard, users can now proceed with all guidance, from the wizard's instructions to interactions with AI agents in the AI Console, entirely in their chosen native language. The preset languages are English, Japanese, Chinese, Russian, and Vietnamese—a total of 5 languages. In addition, by selecting "Other" and entering any language name, support for languages other than presets is also available.
Why Native Multilingual Support — User Base Across Over 100 Countries and Efficiency Differences in Native Language Usage
The ecosystem centered around ERPC and SLV, operated by Validators DAO, attracts users from over 100 countries worldwide. Professionals such as Solana validator operators, Solana RPC operators, high-frequency traders, bot developers, infrastructure engineers, and researchers—who come from diverse countries and speak different native languages—use this platform daily to share insights on the practical operation of Solana infrastructure.
Historically, SLV has operated primarily in English. Technical documentation, the onboarding wizard, and even interactions with AI agents were all standardly in English. However, the majority of users are not native English speakers and are overwhelmingly more proficient in their own native languages. The ability to read and write in one's native language when using AI and software makes a significant difference in work efficiency.
This difference is particularly pronounced in interactions with AI agents. Accurately conveying one's intentions, understanding explanations in detail, and iteratively asking follow-up questions—the cycle of these actions can be performed in one's native language or not, leading to substantial variations in time and cognitive load for the same task.
We strongly recognized this latent demand and proceeded with SLV's native multilingual support. With this release, SLV has entered a phase where it can be delivered to a wider user base as a tool that can be used in one's native language.
Preset 5 Languages and "Other" — Prioritizing Widely Used Languages
When you launch the onboarding wizard, the language selection screen appears first. The preset languages are listed in order of user frequency within the Validators DAO user base, offering 5 languages.
English, Japanese, Chinese, Russian, and Vietnamese—in addition to these, selecting "Other" allows you to enter any language name. Users whose native language is not among the preset languages can also use SLV in their language simply by typing its name.
The selection of preset languages reflects the actual communication trends observed in the official Validators DAO Discord. On Discord, there has been a noticeable increase in users sending questions and feedback in their native languages, with Chinese communication being particularly prominent. Screenshots shared also frequently showed OS and terminal settings in languages other than English. The 5 preset languages were chosen based on these real-world usage patterns.
AI Console Also Operates in Native Language — Consistent from Interaction to Execution
Once a language is selected during onboarding, that setting is carried over to the AI Console. Explanations from AI agents, confirmation messages, security warnings, and operational result reports—all of these will be displayed in the selected language.
Users can request tasks from AI agents using natural language, read explanations provided in their native language, and ask follow-up questions in their native language. Upgrading validators, configuring Solana Geyser gRPC, setting up Solana Shredstream, starting DoubleZero clients, migrating nodes—all operations necessary for Solana infrastructure management can be performed in one's native language...