Security / Penetration Testing
An AI harness for long-running penetration tests, bug bounties, and code audits. It combines specialist agents, a Kali runtime, durable state, and second-agent verification for findings.
The page clearly describes a real AI-powered security tool with a specific workflow, concrete capabilities, and installation/run instructions. It shows enough evidence for a useful directory listing: purpose, core features, supported clients, operational model, and quick-start commands.
The snapshot does not show the full setup and usage flow end-to-end, so a visitor still cannot tell how engagement configuration, reporting, or common troubleshooting works in practice. It also does not show screenshots, demos, or real example engagements/results from the page.
Last evaluated just now. Current rank #14. Down 3 spots in the rankings.
Open-source security scanner for AI agents, MCP servers, and agent skills. It auto-discovers installed agent components and checks them for prompt injection, tool poisoning, secrets, malware payloads, and related risks.
Open-source security agent framework for cloud, code, and runtime. It ships 45 built-in agents for AWS, GCP, Azure, Kubernetes, GitHub, and GitLab, and lets users create custom agents in a single markdown file.
Self-hosted AI security testing platform for authorized pentesting and bug bounty workflows, with a local web UI, live agent telemetry, verified findings, and branded PDF reports.
