AURA vs jevals
Both are AI Agents and LLMs & Infrastructure tools. Both are open source.
Grok| AURA | jevals | |
|---|---|---|
| Tagline | A Rust agent that investigates and fixes production incidents | Replacing LLM judges with typed Jev decisions |
| Pricing | Open Source | Open Source |
| Categories | AI Agents, LLMs & Infrastructure | LLMs & Infrastructure, AI Agents |
| Built for | Developers | Developers |
| Platforms | Linux, macOS | API |
| Tech stack | Rust | Python |
| Alternative to | PagerDuty | — |
| AI Launch upvotes | ▲ 0 | ▲ 0 |
| Hacker News | Y▲ 28 on HN | Y▲ 47 on HN |
| Launched | 2026-09-28 | 2026-09-25 |
Overview
Who it's for
AURA
SRE and platform engineering teams running production systems.jevals
Developers who evaluate and guard AI agents in production.Problem
AURA
Incident investigation means manually correlating logs, traces, metrics and deploys under time pressure.jevals
LLM-as-judge evals are slow and costly, so teams can't run them on every trace or inside the agent loop.Solution
AURA
A preconfigured team of AI agents that connects to your stack and investigates incidents within operator-defined boundaries.jevals
Typed decision models that score many checks in one cheap, fast request, including security checks like indirect injection.What makes it unique
AURA
Built as Mezmo's internal operations harness and still used for their production operations.jevals
The README's quickstart runs eight checks in one request for about $0.00006 in 0.33 seconds.