Argus – Self-hosted AI that monitors infra and explains what's wrong
ReAct agent with 18 tools investigates incidents before you open Datadog dashboards.
AI-native observability for production systems. Automatically understands your application from runtime data and logs. No dashboards. No manual configuration.
Autonomous AI agent investigates infra anomalies within a saturated observability market.
DevOps engineers, SREs
Datadog · Grafana · Honeycomb
ReAct agent with 18 tools investigates incidents before you open Datadog dashboards.
Auto-instruments codebases and opens fix PRs before you see the alert.
This actually tries something non-trivial: a Geneclaw Evolution Protocol (GEP) that turns failures into structured evolution proposals, complete with unified diffs, risk levels and rollback plans. The five-layer gatekeeper + git-branch apply + automated test rollback combo shows real operational thinking — and the default dry-run mode is the correct safety posture. It's early and specialist: adoption will hinge on more demos, audits and battle-tested examples of autonomous fixes gone right (or safely stopped).
Forty AI agents arguing and voting on ideas in a gamified cemetery.
Proposes real code diffs via Claude, unlike axe-core which just reports errors.
Compelling security argument but no shipped code or working implementation.