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Development · Web app

Antimetal

Autonomous production engineering platform that diagnoses, triages, and fixes runtime issues

From the Xiry library · Updated 3 October 2026

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Antimetal connects directly to observability, code, and cloud infrastructure systems to build a continuous world model of production runtime behavior. Specialized AI agents automatically investigate operational incidents, identify root causes, and submit fix pull requests for human approval. Originally focused on AWS cost optimization, the platform now operates as an autonomous operational layer for production systems.

What it's for

  • Diagnose and resolve production incidents without manual metric correlation
  • Identify root causes across deployments, infrastructure changes, and errors
  • Automate pull requests to fix recurrent production errors
  • Watch continuously for system drift and operational regressions

Features

  • Runtime world model linking deployments, telemetry, alerts, and code changes
  • Patrol agent to continuously monitor operational risks and system drift
  • Triage agent that converts telemetry noise into actionable issues
  • Autonomous fix generation via pull requests integrated with approval workflows
  • Natural language agent builder to create custom operational agents
  • Integrations with AWS, GCP, Kubernetes, Datadog, Grafana, GitHub, and Linear

Pricing

Paid. Requires booking a demo; no public pricing provided

Details

Type
Web app
Category
Development
Topic
Production Monitoring
Open source
No
Platforms
Web
For
Site reliability engineers, DevOps teams, and engineering leads managing complex production systems
Alternative to
Datadog, PagerDuty, Sentry
Tags
devops, sre, observability, incident response, ai agents, infrastructure

Why it was saved

  • @tclarkmedia, 11 April 2024: Automates savings, visibility, and infrastructure guardrails to reduce cloud spend and management overhead on AWS.

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