RedAmon has attracted thousands of GitHub stars with an open-source framework designed to coordinate an authorized security assessment from reconnaissance through a proposed code fix. Created by Samuele Giampieri and maintained with security researcher Ritesh Gohil, the project combines roughly 100 security tools, a LangGraph agent, a Neo4j attack-surface graph, and a web interface in one Docker Compose stack.
The MIT license makes the framework available for modification and self-hosting. Its broad scope explains much of the interest: RedAmon discovers assets, selects offensive tools, records attack paths, triages findings, edits source code, and opens a GitHub pull request. Human reviewers still decide whether a proposed patch is safe and ready to merge.
Red teaming simulates an attacker’s behavior under explicit authorization. RedAmon automates parts of that process with a large language model, so its value depends on target scope, model quality, tool configuration, and operator oversight. The project’s popularity establishes developer interest; repeatable benchmarks against skilled human testers would establish effectiveness.
Authorization required: Run RedAmon only against systems you own or have explicit written permission to test. Its scanners and exploitation tools can disrupt services, alter data, and trigger security controls.
Six components, one operating stack
RedAmon isolates its major services in Docker containers and connects them through APIs. This structure keeps scanners, agents, storage, and remediation logic separate while giving the orchestrator one shared view of the engagement.
From asset discovery to pull request
The documented workflow follows six stages:
- Reconnaissance: Kali-based containers discover hosts, services, URLs, and potential vulnerabilities.