KALI AI is an open-source AI workspace designed to accelerate Linux development, security research, automation, documentation, local AI workflows, and developer productivity through a unified modern workspace.
Every feature engineered to accelerate Linux development, security research, and AI workflows.
Run Ollama, LM Studio, or any OpenAI-compatible local model. Full offline capability with zero data leaving your machine.
Extend KALI AI with community plugins. Build custom Python modules or install ready-made integrations for your workflow.
Automate complex shell workflows through natural language. Execute command sequences, manage files, and orchestrate tools with AI assistance.
Built for authorized penetration testing and security research. Target scope guard, human-in-the-loop execution, and audit logs included.
Generate, review, and execute code directly within the workspace. Supports Python, Bash, and more with context-aware suggestions.
Seamless terminal integration with stdin pipe protection, streaming timeout controls, and non-blocking execution to keep your workspace fluid.
Self-learning memory engine remembers your preferences, workflows, and project context across sessions for smarter interactions every time.
Complete functionality without internet when using local models. Your data stays on your machine with zero telemetry or tracking.
Every line of code is visible and auditable. MIT license gives you freedom to fork, modify, and deploy on your own infrastructure.
Currently Linux-native with Windows and macOS support on the roadmap. Built with cross-platform compatibility in mind from day one.
Built by developers, for developers. Every design decision prioritizes your control, privacy, and productivity.
No telemetry. No data collection. Your conversations, code, and findings stay on your machine, always.
Full offline functionality with local models. No API key required. No cloud dependency. Total independence.
MIT licensed. Every line of code is public. Audit, contribute, or fork. No black boxes, no hidden behavior.
Python plugin API lets you build custom integrations. Compatible with any tool, any workflow, any team.
Built and optimized for Linux. Deep shell integration, system-aware AI, and native terminal performance.
A clean, keyboard-first desktop GUI that feels as premium as the commercial tools, without the subscriptions.
Non-blocking execution, streaming responses, and smart auto-timeouts keep your workflow fast and uninterrupted.
Built with and for the community. Your feedback, issues, and contributions directly shape the product roadmap.
A clean, layered design built for performance, extensibility, and transparency.
Building the future of AI-powered Linux workflows, one phase at a time.
Desktop GUI, multi-LLM support, persistent memory, terminal execution, plugin foundation, and session management.
Formal plugin development kit, documentation, developer tools, and first-party plugin examples.
Community plugin store with one-click install, plugin ratings, and curated security tool integrations.
Optional encrypted cloud backup, cross-device session sync, and mobile companion app for on-the-go access.
Shared workspaces, team memory pools, collaborative sessions, and role-based access control.
SSO integration, audit logs, custom deployment options, dedicated support, and enterprise plugin management.
Transparent, auditable, and built in the open. Join the community.
Explore the source code, open issues, and submit pull requests.
Full README, setup guides, plugin API reference, and usage examples.
Free to use, modify, and distribute. Commercial use permitted.
Learn how to contribute features, fixes, and plugins to KALI AI.
Report bugs, request features, and get help from the community on GitHub Issues.
A curated marketplace for community plugins. Share your integrations with the world.
Everything you need to know about KALI AI.
KALI AI is an open-source AI workspace designed for Linux developers and security researchers. It combines a desktop GUI, multi-LLM support (local and cloud), terminal integration, plugin architecture, and persistent memory into a single unified workspace. Think of it as your AI co-pilot that lives natively on your Linux machine.
Absolutely. KALI AI is released under the MIT license. The entire codebase is publicly available on GitHub at github.com/ombuilds-ai/kali-ai-agent. You can inspect, fork, modify, and redistribute it freely — including for commercial purposes.
Yes. KALI AI natively supports local models through Ollama, LM Studio, and any OpenAI-compatible endpoint. When running locally, no data ever leaves your machine and no internet connection is required. It also supports cloud providers like Gemini, OpenAI, Anthropic, and OpenRouter.
Yes. KALI AI features a plugin architecture that lets you extend its capabilities with custom Python modules. Plugins can add new tools, integrate external APIs, automate custom workflows, and interact with the AI engine. A formal plugin SDK and marketplace are coming in Phase 2 and 3 of the roadmap.
KALI AI is currently Linux-native (Ubuntu, Fedora, Arch, Kali Linux). Windows and macOS support is planned on the roadmap. The core architecture is designed with cross-platform compatibility in mind, so future ports are feasible without a full rewrite.
KALI AI requires Python 3.10+, a modern Linux distribution (Ubuntu 20.04+, Fedora, Arch, or Kali Linux), 4GB RAM minimum (8GB recommended), and a modern desktop environment. For local AI models, a dedicated GPU is recommended but not required.
KALI AI is free, open-source, and ready to install. Join developers and security researchers already building with it.