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rogue-security
rogue
Python2025–2025
rogue-security / rogue

rogue

AI Agent Evaluator & Red Team Platform

3Distinct people
4Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

AI Agent Evaluator & Red Team Platform

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day4 dated mentions

Observed mentions: 2025-10-16 09:35:48 UTC to 2025-10-27 07:06:38 UTC.

01232025-10-16 00:00:00 UTC to 2025-10-17 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 commentsOct 162025-10-17 00:00:00 UTC to 2025-10-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-18 00:00:00 UTC to 2025-10-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-19 00:00:00 UTC to 2025-10-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-20 00:00:00 UTC to 2025-10-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-21 00:00:00 UTC to 2025-10-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 212025-10-22 00:00:00 UTC to 2025-10-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-23 00:00:00 UTC to 2025-10-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-24 00:00:00 UTC to 2025-10-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-25 00:00:00 UTC to 2025-10-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-26 00:00:00 UTC to 2025-10-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-27 00:00:00 UTC to 2025-10-28 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsOct 27

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 162025-10-16 00:00:00 UTC2025-10-17 00:00:00 UTC321
Oct 172025-10-17 00:00:00 UTC2025-10-18 00:00:00 UTC000
Oct 182025-10-18 00:00:00 UTC2025-10-19 00:00:00 UTC000
Oct 192025-10-19 00:00:00 UTC2025-10-20 00:00:00 UTC000
Oct 202025-10-20 00:00:00 UTC2025-10-21 00:00:00 UTC000
Oct 212025-10-21 00:00:00 UTC2025-10-22 00:00:00 UTC000
Oct 222025-10-22 00:00:00 UTC2025-10-23 00:00:00 UTC000
Oct 232025-10-23 00:00:00 UTC2025-10-24 00:00:00 UTC000
Oct 242025-10-24 00:00:00 UTC2025-10-25 00:00:00 UTC000
Oct 252025-10-25 00:00:00 UTC2025-10-26 00:00:00 UTC000
Oct 262025-10-26 00:00:00 UTC2025-10-27 00:00:00 UTC000
Oct 272025-10-27 00:00:00 UTC2025-10-28 00:00:00 UTC110

What Hacker News says

4 sources
Testing AI agents is still a big problem for most teams. You either test manually through scenarios, or you've built custom scripts. Rogue is an open source framework that works differently - it uses one agent to test another agent automatically. How it works: you describe what your agent should do, Rogue creates test scenarios, then starts an evaluator that talks with your agent. You can watch these agent-to-agent conversations in real-time, which makes it easy to see where problems happen. The setup is good - one server with multiple ways to connect (terminal interface, web interface, command line). You can run the server once and connect different ways, or add it to your CI/CD pipeline. Works with OpenAI, Anthropic, and Google models. They include a sample t-shirt selling agent you can test right away, which helps you understand how it
Read the rest
works. The command line mode is useful for automation. If you're building agents and manual testing takes too much time, this is worth looking at. Good documentation on GitHub, simple to start with uvx. Link to the open source: https://github.com/qualifire-dev/rogue
In Rogue: Open-source AI agent evaluation framework

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