samugit83/redamon

Health v2 · maintenance only

Adoption not part of the score

2354 stars · 469 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

RedAmon is an AI-powered agentic red team framework that automates offensive security operations end-to-end, chaining reconnaissance, exploitation, and post-exploitation into a single pipeline. It also triages findings, implements code fixes, and opens pull requests, with human oversight at critical steps.

Use cases

• automate penetration testing from recon to exploitation
• run autonomous red team engagements with AI agents
• perform OSINT reconnaissance on targets
• automate post-exploitation workflows
• triage vulnerabilities and auto-generate patches via pull requests
• test offensive AI capabilities against defenses

When to choose

• you want to automate red team operations with minimal human intervention
• you need an end-to-end offensive security pipeline from reconnaissance to remediation
• you want AI agents to triage findings and propose code fixes
• you are an authorized security team evaluating autonomous pentesting tools

When to avoid

• you lack explicit authorization to test target systems
• you need a mature, widely-audited commercial pentesting suite
• you require fully manual, fine-grained control over every exploitation step
• your environment cannot run Python-based tooling with LLM access

Facets

framework · maturity active

penetration-testing osint agent-framework security workflow-automation llm-inference security penetration-testing artificial-intelligence osint python cli red-team offensive-security agentic-ai ethical-hacking exploitation reconnaissance post-exploitation autonomous-agents vulnerability-remediation ai-agents linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="samugit83/redamon")