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vtchat discussion
vtchat reviews and mentions
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Show HN: I built VT, a privacy-first AI chat app with local storage and BYOK
I built VT (https://vtchat.io.vn), an open-source AI chat app that runs entirely in your browser, putting privacy first. All your chat data stays on your device, stored in IndexedDB. Nothing is ever sent to a server.
The main idea is to let you use the latest and most powerful AI models like GPT-4.1, Gemini 2.5 Pro, and Claude 4 without sacrificing your privacy. You can plug in your own API keys (BYOK) and chat directly with these models. There are also 9 free models available without needing a key.
Beyond simple chat, VT includes an intelligent tool router that can automatically use tools like document parsing and web search to answer complex queries. This allows the models to work with your private documents or fetch up-to-date information from the web, all while maintaining the local-first architecture.
The project is built with Next.js 14 and TypeScript, and the source is available on GitHub (https://github.com/vinhnx/vtchat) under the MIT license.
I'm looking for feedback from the HN community on the architecture and features. Thanks for checking it out.
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VT Chat – Privacy-First AI Platform with Local Storage and Advanced Research
I built VT Chat because I wanted AI conversations that stay completely private while having access to the latest models like Claude 4, O3, Gemini 2.5 Pro, and DeepSeek R1.
App: https://vtchat.io.vn
Open Source: https://github.com/vinhnx/vtchat
The key difference is true local-first architecture. Everything lives in your browser - chats stored in IndexedDB, zero server storage, and your API keys never leave your device. I literally can't see your data even as the developer.
Switch between 15+ AI providers (OpenAI, Anthropic, Google, etc.) and compare responses side-by-side. Safe for shared machines with complete data isolation between users. Local models with LM Studio, LLama.ccp and Ollama is in the road map.
Research features that I actually use daily: Deep Research does multi-step research with source verification, Pro Search integrates real-time web search, and AI Memory builds a personal knowledge base from your conversations. Also includes PDF processing, "thinking mode" to watch AI reasoning unfold, structured data extraction, and semantic routing that automatically activates the right tools.
Built with Next.js 14, TypeScript, and Turborepo. Fully open source for self-hosting. The hosted version is mostly free, with optional VT+ for premium models and advanced research capabilities.
Would love feedback on the local-first approach or any questions about the implementation.
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Show HN: I Built a Local-First AI Research Platform with Advanced RAG
I've built VT Chat, a privacy-first AI platform that keeps all your conversations local while providing advanced research capabilities and access to 15+ AI models including Claude 4 Sonnet and Claude 4 Opus, O3, Gemini 2.5 Pro and DeepSeek R1.
Live: https://vtchat.io.vn | Source: https://github.com/vinhnx/vtchat
The core difference is true local-first architecture. All chats are stored in IndexedDB with zero server storage. Your API keys never leave your browser, and I can't see them even as the developer. You can switch between OpenAI, Anthropic, Google and other providers to compare responses, with complete data isolation for shared machines.
I've added research features that I actually use daily: Deep Research does multi-step research with source verification, Pro Search integrates real-time web search, and AI Memory creates a personal knowledge base from your conversations. There's also document processing for PDFs, a "thinking mode" to see complete AI reasoning, and structured extraction to turn documents into JSON. AI-powered semantic routing automatically activates tools based on your queries.
Built with Next.js 14, TypeScript, and Turborepo in a monorepo setup. Everything is fully open source for self-hosting with your own API keys. The hosted version keeps most features free, with optional VT+ for premium models and advanced research capabilities.
Happy to discuss the local-first design decisions, research workflow architecture, or any other technical details.
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Show HN: VT Chat – Minimal AI Chat Application
VT began as a weekend experiment and evolved into a year-long journey, taking many forms along the way. I’ve learned so much from open-source projects, generous write-ups, and builders sharing in public.
Try VT Chat today at https://vtchat.io.vn
The app is fully open source at https://github.com/vinhnx/vtchat
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Ask HN: What Are You Working On? (June 2025)
I'm putting the finishing touches on VT[0] - a minimal AI chat client focused on privacy. No tracking, clean interface, with support for deep research, web search grounding, tool calls, and RAG... and more.
The code is all open source on GitHub[1]. Really close to shipping now - hope to share launch details soon.
These monthly HN threads have been great motivation for me to keep building consistently. Thanks everyone!
[0]: https://twitter.com/vtdotai
[1]: https://github.com/vinhnx/vtchat
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A note from our sponsor - InfluxDB
www.influxdata.com | 18 Jul 2025
Stats
vinhnx/vtchat is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of vtchat is TypeScript.