A minimalist, terminal-native coding agent written in C.
# Add to your Claude Code skills
git clone https://github.com/OleksandrChekhovskyi/haxGuides for using ai agents skills like hax.
Last scanned: 8/13/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-08-13T05:40:22.865Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}A minimalist, terminal-native coding agent written in C.
llama-server -m [model].gguf, then
hax --provider llama.cpp, and hax auto-discovers the model and runtime capabilities.
No custom provider config block needed for the default setup.-p one-shot mode with resume hints on
stderr, plain-text config and session files, composition via subprocesses instead of plugins.Developers who live in the terminal, run local models, audit what their tools do, package software for distros, or run agents where resources are scarce. If you want MCP marketplaces, a plugin runtime, IDE panels, or per-command permission prompts, other agents build exactly that — hax deliberately doesn't, and docs/philosophy.md explains each omission and the pattern that covers the need.
If "fancy new AI tech in an old-school minimalist package" sounds like your vibe, you might like this.
hax runs on Linux and macOS; on Windows, use it under WSL.
With Homebrew (macOS or Linux):
brew install oleksandrchekhovskyi/hax/hax
On Linux, download the prebuilt static binary for your architecture (x86_64 or aarch64) from the
latest release, then unpack the
hax binary into any directory on your PATH.
Building from source gives a binary linked against your system's shared libraries instead of a static one:
git clone https://github.com/OleksandrChekhovskyi/hax.git
cd hax
scripts/install_deps.sh # Debian/Ubuntu, Fedora, Arch, openSUSE, Alpine, macOS
make # the binary is now at ./build/hax
make install # optional; may prompt for sudo
scripts/install_deps.sh installs the build dependencies — a C compiler, libcurl,
jansson, meson, ninja, and pkg-config — plus fzf, which hax uses for @file
completion when available. On other platforms, install those packages by hand and run make.
For hacking on hax, make symlink links the freshly built binary into ~/.local/bin so it
stays on PATH across rebuilds. make lint additionally needs clang-format and
clang-tidy (scripts/install_deps.sh lint installs them).
The examples below use hax as if it is on PATH; after a plain build, use ./build/hax.
The easiest first run is interactive: start hax, then use /provider to see available providers
and choose a model. hax remembers interactive provider, model, and effort selections.
| Provider | Setup |
|---|---|
codex |
Log in with the official codex CLI. |
openai |
Set OPENAI_API_KEY. |
anthropic |
Set ANTHROPIC_API_KEY. |
openrouter |
Set OPENROUTER_API_KEY. |
llama.cpp |
Run llama-server. |
ollama |
Run ollama serve. |
| Compatible or custom endpoint | See docs/providers.md. |
Run hax from the project directory you want it to work in:
hax # interactive REPL
hax -p "list TODOs" # run one prompt and print the final answer
printf "explain x" | hax -p # read the prompt from stdin
hax -c # continue the latest session for this directory
hax --resume # pick a past session for this directory
hax --resume=ID -p "next" # resume a specific session in one-shot mode
Run hax --help for CLI usage. In the REPL, type /help for slash commands and shortcuts.
See docs/usage.md for more detailed usage documentation.
Every registered setting has a canonical config key and, when applicable, an HAX_*
environment variable. Runtime selections made with /provider, /model, and /effort are
stored separately from your config file. The more explicit the input, the higher it wins: a
CLI flag beats an environment variable, which beats anything saved.
See docs/configuration.md for the file format, the full resolution order, and the setting reference.
MIT.
hax is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by OleksandrChekhovskyi. A minimalist, terminal-native coding agent written in C. It has 162 GitHub stars.
Yes. hax passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/OleksandrChekhovskyi/hax" and add it to your Claude Code skills directory (see the Installation section above).
hax is primarily written in C. It is open-source under OleksandrChekhovskyi on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh hax against similar tools.
No comments yet. Be the first to share your thoughts!