Rogue
Agent evaluator and red-team tool that probes your agent with test conversations and attacks and reports pass or fail against your policies.
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About Rogue
Rogue is listed in our evals & observability category and is aimed at builders. Agent evaluator and red-team tool that probes your agent with test conversations and attacks and reports pass or fail against your policies. Pricing, as the maker states it: Open source. Maturity: Active. We last checked the official link on 2026-10-19.
Rogue at a glance
- Category: Evals & observability
- Built for: Developers and teams building with AI agents
- Pricing: Open source (as the maker states it)
- GitHub: rogue-security/rogue · 1,070 stars (as of Oct 21, 2026)
- Latest release: v0.6.4, Apr 29, 2026
- Last commit: May 4, 2026
- Official site: qualifire.ai
- Listed on AgentScout: Oct 19, 2026
Rogue FAQ
What is Rogue?
Agent evaluator and red-team tool that probes your agent with test conversations and attacks and reports pass or fail against your policies.
How much does Rogue cost?
Rogue's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Where can I find Rogue's source code?
On GitHub at rogue-security/rogue, which had 1,070 stars as of Oct 21, 2026. The latest release is v0.6.4 (Apr 29, 2026).
What are alternatives to Rogue?
Similar tools include AI Beat, Tracely, SWE-bench, Firedrill, Superlog and CoreWeave Forge.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
Rogue ratings and reviews
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Rogue alternatives
Other evals & observability tools in our directory. See all evals & observability tools →
AI Beat
An open-source AI red-teaming suite: PromptBeat attacks models and prompts, and AgentBeat runs black-box security evaluations against HTTP-exposed agents.
Tracely
Tracely is open-source, trace-native CI/CD for AI agents: it grades every production trace with evaluators, clusters failures into issues, freezes bad runs into replayable test cases and blocks pull requests that would reintroduce them.
SWE-bench
Benchmark that tests whether language models and coding agents can resolve real GitHub issues, with multimodal and verified variants.
Firedrill
A simulation platform for testing AI agents before launch: it runs your agent through realistic scenarios with simulated users and tools, scores results against checks or rubrics and shows where it fails. Includes a remote MCP server.
Superlog
Superlog runs AI agents on routine engineering work around production. You set up automations with triggers and connectors, for example rating each new Sentry issue, posting a plain-language summary to Slack and opening a pull request with the fix, comparing error rates and latency against their normal range every hour, adding missing logs and spans to hard-to-debug code paths, or answering community questions from your code and docs. You choose the model and agent harness and bring your own tokens or subscriptions. The core is open source (Apache-2.0) with a hosted version.
CoreWeave Forge
One product to run, observe, evaluate and post-train agents (W&B, OpenPipe, sandboxes).
Popular searches with this tool
🏆 See also: Best AI Agent Observability & Eval Tools · All best-of lists
🧭 Task guides: Guardrail and policy tools for agent security · AI eval and benchmark tools
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