jevals vs OpenAPPA
Both are LLMs & Infrastructure and AI Agents tools. Both are open source.
Grok| jevals | OpenAPPA | |
|---|---|---|
| Tagline | Replacing LLM judges with typed Jev decisions | Open-source deterministic guardrails that don't break agents |
| Pricing | Open Source | Open Source |
| Categories | LLMs & Infrastructure, AI Agents | AI Agents, LLMs & Infrastructure |
| Built for | Developers | Developers |
| Platforms | API | API |
| Tech stack | Python | — |
| Alternative to | — | Open Policy Agent |
| AI Launch upvotes | ▲ 0 | ▲ 0 |
| Hacker News | Y▲ 47 on HN | Y▲ 23 on HN |
| Launched | 2026-09-25 | 2026-09-30 |
Overview
Who it's for
jevals
Developers who evaluate and guard AI agents in production.OpenAPPA
Teams deploying AI agents that handle sensitive data or untrusted inputs.Problem
jevals
LLM-as-judge evals are slow and costly, so teams can't run them on every trace or inside the agent loop.OpenAPPA
Non-deterministic guardrails miss attacks, and most deterministic ones block agents from completing their work.Solution
jevals
Typed decision models that score many checks in one cheap, fast request, including security checks like indirect injection.OpenAPPA
A policy engine that tracks information flows and applies configurable policies, with batteries for common setups.What makes it unique
jevals
The README's quickstart runs eight checks in one request for about $0.00006 in 0.33 seconds.OpenAPPA
In its benchmarks OpenAPPA completed 89% of tasks with 0% successful attacks, versus 10% for Claude Auto mode and 31% for Microsoft FIDES.