Vercel Labs has open-sourced fx, an experimental coding agent and command-line tool. Written in Zig, fx is built to be scripted or embedded, differing from traditional full-screen terminal applications. It was announced in August 2026.
fx ships as a 6.3 MiB native binary with a reported single-digit-megabyte memory baseline and a 10-microsecond cold start. Instead of taking over the terminal, fx writes its conversation into ordinary scrollback and exposes its engine through both a CLI and a library. This design targets developers building agent infrastructure, providing structured output for automation, allowing scripts or CI jobs to parse responses.
Editors can connect to fx using the Agent Client Protocol (fx acp), and libfx exposes the engine to JavaScript, including a WebAssembly build. Initially, some users noted setup appeared to route inference through Vercel AI Gateway. However, release 0.0.11 added named OpenAI-compatible connections for local servers and alternative gateways, with the README now listing Vercel AI Gateway, ChatGPT, Grok subscriptions, Ollama, and OpenRouter. Vercel has also integrated fx into its AI SDK harness layer alongside other agents like Claude Code and Codex.
Vercel explicitly states that fx is experimental. The 0.0.13 release on October 4 introduced an Ultrafast mode for supported OpenAI models, offering quicker launches and shell calls. This update also included a warning that newly written libfx checkpoints are not compatible with older versions. CLI users can update using `fx upgrade`.
Early feedback on Hacker News included comments on its polish and speed, with one user noting GLM 5.2's free availability through Vercel. A GitHub issue was raised regarding a naming collision with the established terminal JSON viewer 'fx', which already holds the Homebrew formula. A contributor confirmed that packaging and command coexistence are under review.
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Vercel Labs released fx, an experimental coding agent and command-line tool written in Zig, designed for scripting and embedding rather than full-screen terminal use. It aims to provide a lightweight engine for developers building agent infrastructure, offering structured output for automation and integration with editors and JavaScript.