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GRR Rapid Response is an incident response framework focused on remote live forensics.

• Quickstart: Fast automated installation
• User Manual
• Blog
• Administration Documentation (Setup and Configuration)
• Publications: Papers, Presentations, Workshops etc.
• Project FAQ
• Developer and Implementation Documentation
• The GRR Configuration system
• Release Notes: check these when upgrading
• Project Roadmap
• Search Documentation (using github search)
• License Information
• Troubleshooting

GRR is a python agent (client) that is installed on target systems, and python server infrastructure that can manage and talk to the agent.

Client Features:

• Cross-platform support for Linux, OS X and Windows clients.
• Live remote memory analysis using open source memory drivers for Linux, OS X and Windows via the Rekall memory analysis framework.
• Powerful search and download capabilities for files and the Windows registry.
• Secure communication infrastructure designed for Internet deployment.
• Client automatic update support.
• Detailed monitoring of client CPU, memory, IO usage and self-imposed limits.

Server Features:

• Fully fledged response capabilities handling most incident response and forensics tasks.
• OS-level and raw file system access, using the SleuthKit (TSK).
• Enterprise hunting (searching across a fleet of machines) support.
• Fully scalable back-end to handle very large deployments.
• Automated scheduling for recurring tasks.
• Fast and simple collection of hundreds of digital forensic artifacts.
• Asynchronous design allows future task scheduling for clients, designed to work with a large fleet of laptops.
• AngularJS Web UI and RESTful JSON API.
• Fully scriptable IPython console access.
• Basic system timelining features.
• Basic reporting infrastructure.

See quickstart to start using it.

Mailing lists:

• GRR Users: grr-users
• GRR Developers: grr-dev

Follow us on twitter for announcements of GRR user meetups. We use a gitter chat room during meetups.