Argonix
Hi everybody, I built https://argonix.io. Argonix is an AI-powered platform for SRE, security and cloud operations. The idea is to bring and connect together things that are usually spread across many different tools: monitoring, security, Finops, health checks, workflows and incident investigation. A few things you can do with it: Connectors: Connect Argonix to your existing stack: Kubernetes, AWS, GCP, Azure, your own MCP servers, etc. Workflows: Build automation flows using the connectors. Health notebooks: Get a daily overview of the health of your platforms. Argonix can…
Argonix launched on April 20, 2026 with 7 votes, #1,538 of 21,248 launches that month and more than 90% of that year's launches.
What it does
Argonix is an agentic AI platform that monitors, investigates, and fixes your infrastructure — autonomously. Connect 30+ services (AWS, GCP, Azure, Kubernetes, GitLab, Datadog…), and let Argos, our AI agent, handle incidents end-to-end with 310+ tools. What makes it different: → Sovereign: self-host with your own LLM or your own key → GitOps-native: Terraform provider + Kubernetes CRD → CSPM built-in: continuous cloud security scanning with CIS benchmarks
Keep your infrastructure reliable, secure and efficient — continuously. Argonix maps your stack, patrols for weak signals and runs governed, verified workflows. Cloud or self-hosted.
In the maker’s words, at launch
Hi everybody, I built https://argonix.io. Argonix is an AI-powered platform for SRE, security and cloud operations. The idea is to bring and connect together things that are usually spread across many different tools: monitoring, security, Finops, health checks, workflows and incident investigation. A few…
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FabraixMay 2026 · fabraix.com · ▲196We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker. Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean…

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