Released on January 5, 2026, clip4llm v1.0.0 marks the first stable release of our utility designed to bridge the gap between your local filesystem and Large Language Models. By automating the gathering and formatting of file contents, clip4llm eliminates the tedious manual copying of code and text, allowing you to feed rich, structured context into your LLMs with a single command.

What’s new

This milestone release transitions clip4llm from beta to a stable 1.0 version, ensuring a reliable experience for all users. The most significant addition is the Non-Recursive Mode, introduced via the --no-recursive flag (also configurable as no-recursive=true in your .clip4llm file). This allows you to limit file gathering to the current working directory, preventing the tool from traversing into sub-directories.

Under the hood, we’ve modernized the core by updating to Go 1.25.5 and refreshing our dependency chain to ensure the tool remains fast, secure, and compatible with the latest environments.

Why it matters

Managing LLM context windows is a constant struggle. Often, you only need the files in your immediate folder, but recursive tools pull in everything—including deep sub-directories—which can quickly exhaust your token limit or introduce irrelevant noise. The non-recursive mode gives you surgical precision over your context.

Combined with built-in binary exclusion and smart size limits (defaulting to 32KB), clip4llm ensures your LLM gets exactly the context it needs to be effective, without the manual overhead.

Get started

Ready to optimize your workflow? You can upgrade to v1.0.0 today. The easiest way is via Go:

go install github.com/UnitVectorY-Labs/clip4llm@latest

Alternatively, you can download pre-compiled binaries for Windows, macOS, and Linux directly from the GitHub Releases page.

This post was AI-generated using the model unsloth/gemma-4-31B-it-GGUF:UD-Q5_K_XL. Reference: UnitVectorY-Labs/clip4llm, release v1.0.0, generated on 2026-04-10. Author: release-storyteller