# samugit83/redamon

An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.

Repository: https://github.com/samugit83/redamon
Canonical: https://ross.abutalabs.com/products/redamon
Language: Python
License: MIT
License Family: permissive
Topics: agentic-ai, cybersecurity, ethical-hacking, ethical-hacking-tools, metasploit, osint, penetration-testing, red-team, ai, exploitation
Last push: 2026-08-23T13:27:08+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 95, longevity 17
- inputs: {"age_days": 247, "days_push": 10, "days_rel": 36, "gap_med": 7.5, "n_releases_24m": 15}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2354, forks 469 (observed 2026-08-28T04:06:40.528396+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: penetration-testing, osint, agent-framework, security, workflow-automation, llm-inference
- domain: security, penetration-testing, artificial-intelligence, osint
- platform: python, cli
- tags: red-team, offensive-security, agentic-ai, ethical-hacking, exploitation, reconnaissance, post-exploitation, autonomous-agents, vulnerability-remediation, ai-agents, linux, docker

## Member repositories
- samugit83/redamon (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:40.528396+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:36:28.219260+00:00, confidence not recorded.
  - readme: https://github.com/samugit83/redamon (fetched 2026-08-28T04:06:40.528396+00:00, sha 02b3178ff8b5)
- Data as of 2026-08-30T08:39:29.467469+00:00.