samugit83

    samugit83/redamon

    Open-source, self-hosted AI penetration testing framework: maps your attack surface into a graph, autonomously exploits it from a Kali sandbox with human approval gates, and opens PRs that fix what it finds. MCP both ways: plug in any MCP server as a tool, or drive RedAmon from Claude Code or your own agent.

    ai
    security
    agentic-ai
    ai-penetration-testing
    ai-pentesting
    autonomous-agents
    bug-bounty
    Python
    MIT
    3.3K stars
    687 forks
    3.3K GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    1 release in the last 90 days, the latest 50 days ago, with 17 contributors on GitHub.

    Use Cases & Benefits

    • Automates offensive security operations using an AI-powered agentic framework that integrates reconnaissance, exploitation, post-exploitation, triage, and automated code fixes.
    • Provides a fully autonomous pipeline that not only discovers vulnerabilities but also triages and remediates them by opening pull requests, reducing manual effort and accelerating security workflows.
    • Use for conducting comprehensive, black-box penetration tests that map and exploit an entire attack surface with minimal human intervention.
    • Use for security teams seeking to continuously monitor and remediate vulnerabilities in codebases by integrating automated fix suggestions and pull requests.
    • Use for researchers and developers wanting to validate and benchmark offensive AI capabilities against complex web security challenges using a reproducible, auditable framework.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Unmask the hidden before the world does

    An autonomous AI framework that chains reconnaissance, exploitation, and post-exploitation into a single pipeline, then goes further by triaging every finding, implementing code fixes, and opening pull requests on your repository. From first packet to merged patch, with human oversight at every critical step.

    LEGAL DISCLAIMER: This tool is intended for authorized security testing, educational purposes, and research only. Never use this system to scan, probe, or attack any system you do not own or have explicit written permission to test. Unauthorized access is illegal and punishable by law. By using this tool, you accept full responsibility for your actions. Read Full Disclaimer

    🏆 Flagship result: RedAmon solves 101 / 104 (97.1%) of the XBOW web-security benchmark fully black-box. Every solve ships a complete, unedited raw agent session and a reproducible, step-by-step walkthrough: open any row and read exactly how the flag fell, tool call by tool call. Auditable, line by line. See the XBOW Validation Benchmark scorecard.

    Excerpt from the samugit83/redamon README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    687+120

    Open issues

    17+1

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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