
Agentic AI platform for infrastructure operations. 45+ connectors, 310+ tools. Argos investigates incidents, runs security audits, and fixes issues — autonomously.
A startup from France.
This page is designed to help you find out whether Argonix is good and if it is the right choice for you.
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 (Ollama, vLLM) — zero data leaves your network → GitOps-native: Terraform provider + Kubernetes CRD → CSPM built-in: continuous cloud security scanning with CIS benchmarks
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AI Agent
Autonomous investigation & remediation of infrastructure incidents
Connectors
30+ integrations (AWS, GCP, Azure, Kubernetes, GitLab, Datadog, etc.)
Tools
310+ actions for monitoring, incident response, and automation
CSPM
Continuous cloud security scanning with CIS benchmarks
Monitoring
HTTP, TCP, DNS, ICMP health checks with alerting
Self-Hosted
Deploy on your own infrastructure with your own LLM (Ollama, vLLM)
GitOps
Terraform provider + Kubernetes CRD — everything as code
BYOM
Bring Your Own Model — use any LLM provider (local or cloud)
Alert Routing
Detection rules with deduplication and smart routing
Argonix is the only platform that combines an autonomous AI agent, infrastructure monitoring, and cloud security posture management (CSPM) in a single self-hostable solution. Unlike competitors, you can run it on your own infrastructure with your own LLM — zero data leaves your network. It's also fully GitOps-native with a Terraform provider and Kubernetes CRD.
Three reasons: sovereignty, autonomy, and simplicity. Unlike PagerDuty or Datadog, Argonix can be entirely self-hosted with your own AI model — no vendor lock-in, no data egress. The AI agent (Argos) doesn't just alert you: it investigates and fixes issues autonomously using 310+ tools. And everything is manageable as code via Terraform or Kubernetes manifests, fitting naturally into GitOps workflows.
DevOps engineers, SREs, platform teams, and CTOs at companies running cloud infrastructure (AWS, GCP, Azure, Kubernetes) who want to reduce alert fatigue, accelerate incident response, and maintain security compliance — especially those with data sovereignty requirements (EU, regulated industries, defense).
Argonix was born from the frustration of managing too many monitoring and incident tools that don't talk to each other. Instead of juggling PagerDuty, Datadog, and separate CSPM tools, we built one platform where an AI agent connects to your entire stack and handles incidents end-to-end — from detection to remediation. We made it self-hostable because we believe companies shouldn't have to send their infrastructure data to a third party.
Backend: Python, Django, Django REST Framework, Celery. Frontend: Vue 3, Vite, TailwindCSS. Infrastructure as Code: Go (Terraform provider, Kubernetes operator). AI: supports Google Gemini, Anthropic Claude, OpenAI GPT, and self-hosted models via Ollama/vLLM.
We have collected here some useful links to help you find out if Argonix is good.
Check the traffic stats of Argonix on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Argonix on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Argonix's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Argonix on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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