VT Code – Rust TUI coding agent with multi-provider support
Hi HN, I built VT Code, a semantic coding agent. Supports all SOTA and open sources model. Anthropic, OpenAI, Gemini, Codex. Agent Skills, Model Context Protocol and Agent Client Protocol (ACP) ready. All open source models are support. Local inference via LM Studio and Ollama (experiment). Semantic context understanding is supported by ast-grep for structured code search and ripgrep for powered grep. I built VT Code in Rust on Ratatui. Architecture and agent loop documented in the README and DeepWiki. Repo: https://github.com/vinhnx/VTCode DeepWiki:…
In plain words
VT Code is a terminal-based coding agent built in Rust that works with multiple AI models including Anthropic, OpenAI, Gemini, and open-source options. It supports local inference through LM Studio and Ollama, and uses ast-grep and ripgrep for semantic code understanding. The tool implements Agent Skills, Model Context Protocol, and Agent Client Protocol standards. It is designed for developers who want an open-source, flexible coding environment with support for their preferred AI models and local inference options.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, I built VT Code, a semantic coding agent. Supports all SOTA and open sources model. Anthropic, OpenAI, Gemini, Codex. Agent Skills, Model Context Protocol and Agent Client Protocol (ACP) ready. All open source models are support. Local inference via LM Studio and Ollama (experiment). Semantic context understanding is supported by ast-grep for structured code search and ripgrep for powered grep. I built VT Code in Rust on Ratatui. Architecture and agent loop documented in the README and DeepWiki. Repo: https://github.com/vinhnx/VTCode DeepWiki: https://deepwiki.com/vinhnx/VTCode Happy to answer questions! I believe coding harnesses should be open, and everyone should have a choice of their preferred way to work in this agentic engineering era.
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