We’re pleased to announce the release of clip4llm v0.0.7, published on October 9, 2025. This update brings a highly requested feature that makes version management easier for all users, along with improved documentation and ongoing maintenance improvements.

What’s New

Version Flag

The standout addition in v0.0.7 is the new --version flag. You can now check your installed clip4llm version at any time:

clip4llm --version
# Output: Version: v0.0.7

This simple but practical feature helps users verify their installation and troubleshoot issues by confirming they’re running the expected version. For development builds, it will display “dev” instead of a release tag.

Easier Installation

We’ve enhanced our documentation with streamlined go install instructions. Installing clip4llm is now as simple as:

go install github.com/UnitVectorY-Labs/clip4llm@latest
export PATH=${PATH}:$(go env GOPATH)/bin

This makes it much easier for Go developers to get started with clip4llm without needing to manually clone and build from source.

Why It Matters

While v0.0.7 is a maintenance-focused release, it reflects our commitment to keeping clip4llm well-maintained and user-friendly. The version flag addresses a common need when managing command-line tools across multiple environments, while the documentation improvements lower the barrier to entry for new users.

Under the hood, this release includes:

  • Go runtime updates through 1.25.1 for improved compatibility and security
  • Dependency upgrades, including an updated binary detection library that may improve accuracy when filtering files
  • CI/CD modernization with updated GitHub Actions to maintain build quality and security

All changes maintain full backward compatibility—upgrading from v0.0.6 is safe and requires no configuration changes.

Get Started

Upgrading

If you already have clip4llm installed, upgrade with:

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

Or download pre-built binaries for macOS, Linux, or Windows from the v0.0.7 release page. All assets include checksums for verification.

What clip4llm Does

clip4llm is a command-line utility that streamlines copying file contents into your clipboard for pasting into Large Language Models. It automatically gathers non-hidden, non-binary text files from your current directory—excludes binaries that LLMs can’t process—and respects sensible limits (32KB per file, 1MB total) to avoid consuming excessive context windows.

For more details, check out the full documentation.

Transparency Note: This release announcement was AI-generated using the unsloth/Qwen3.5-122B-A10B-GGUF:Q4_K_M model. It was drafted on March 17, 2026, based on research of the v0.0.7 release from the clip4llm repository. Author: release-storyteller