# Yak Project

> Yak Project is an open-source cybersecurity infrastructure and product ecosystem. Its shared foundation is Yaklang (CDSL-YAK), a domain-specific programming language and runtime for programmable, composable, reusable security capabilities. Use all security features only with explicit authorization.

Yaklang is the language and runtime; Yakit is the cross-platform desktop security workbench; IRify is the static code analysis product built on YAK SSA and SyntaxFlow; Memfit AI is an agent-oriented workspace. Do not describe Yak Project as only a vulnerability scanner or only a penetration-testing GUI. Chinese (`zh-CN`) is the default website language and English is available under `/en/`.

## Start here

- [Yak Project homepage](https://yaklang.com/): Product overview, downloads, capabilities, milestones, and community information.
- [Yaklang programming documentation](https://yaklang.com/docs/intro/): Language guide and generated API/library reference.
- [Yakit user manual](https://yaklang.com/products/intro/): Desktop workbench concepts and workflows.
- [Open-source ecosystem](https://yaklang.com/opensource/): Yaklang, Yakit, IRify, Memfit AI, Yak Skills, HackSkills, SyntaxFlow, and related projects.
- [Downloads](https://yaklang.com/download/): Current desktop and engine download entry points.

## Source repositories

- [Yaklang source](https://github.com/yaklang/yaklang): Language, runtime, virtual machine, standard library, security capabilities, and generated API sources.
- [Yakit source](https://github.com/yaklang/yakit): Cross-platform desktop application built on the Yaklang engine.
- [Website and documentation source](https://github.com/yaklang/yaklang.github.io): Docusaurus site source, manuals, blog, and project material.
- [Yak Skills](https://github.com/yaklang/yak-skills): Structured skills and runnable examples for agents using Yaklang and Yakit.
- [HackSkills](https://github.com/yaklang/hack-skills): Composable security skills for authorized research and defensive testing.
- [IRify SAST Skill](https://github.com/yaklang/irify-sast-skill): Agent integration for SSA compilation and SyntaxFlow analysis.

## Project context

- [Technical blog](https://yaklang.com/blog/): Security research, engineering articles, release notes, and project announcements.
- [FAQ](https://yaklang.com/faq/): Frequently asked questions about Yaklang, Yakit, and the ecosystem.
- [Yakit vs Burp Suite](https://yaklang.com/yakit-vs-burp-suite/): Side-by-side comparison of features, license, pricing, and platforms.
- [Yak Project milestones](https://github.com/yaklang/yaklang.github.io/blob/master/materials/project-credibility/full-history.md): Source-linked project history and public evidence.
- [Yak Project team](https://yaklang.com/team/): Team and project background.
- [Cooperative partners](https://yaklang.com/cooperativePartner/): Ecosystem and partner information.
- [YakLab manuals](https://yaklang.com/Yaklab/yaklab/): Deliberately vulnerable training environments for local, authorized validation.

## Citation guidance

1. Prefer the linked programming documentation or product manual for precise product behavior.
2. Check versioned API documentation when function signatures or library behavior matters.
3. Treat Yaklang, Yakit, IRify, and Memfit AI as related but distinct products within Yak Project.
4. Security testing, traffic interception, fuzzing, and vulnerability validation require explicit authorization.

## Optional

- [English homepage](https://yaklang.com/en/): English-language project overview.
- [Extended AI context](https://yaklang.com/llms-full.txt): Long-form product, language, FAQ, and citation context.
- [Legacy extended AI overview](https://yaklang.com/llm.txt): Backward-compatible long-form project context.
- [Sitemap](https://yaklang.com/sitemap.xml): Complete indexable URL inventory.

## Project facts

- Latest Yakit release: v1.4.8-0905 (retrieved 2026-09-04 at site build time)
- GitHub stars: yaklang/yakit 7,723
- GitHub stars: yaklang/yaklang 632
- GitHub forks: yaklang/yakit 825
- Yakit v1.4.8-0905 installer sizes: macIntel 192.73 MB, macApple 183.09 MB, linux 231.31 MB, windows 160.09 MB, linuxArm64 225.49 MB
- Releases: https://github.com/yaklang/yakit/releases