by intikhab49 · Agent Tool · ★ 46
Open Jev — a typed decision engine you can train for free A 150M encoder that answers arbitrary typed questions about a state in one forward pass, with calibrated confidence. 0.03 behind TypeSafe Jev on its own benchmark, 2.5× better calibrated, 4× faster, $0. Results · How it works · Quick start · What we learned · Limitations What this is TypeSafe AI's Jev (launched 2026-09-15) is a "System One" model: it never writes prose, it only decides, classifies, routes and scores. You hand it a state plus a set of typed questions and it answers all o
| Stars | 46 |
| Forks | 3 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.8231785487377/100 |
| Last Updated | 2026-10-06 |
| Created | 2026-09-19 |
| Platforms | python |
| Est. Tokens | ~17k |
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open-jev-typed-decision-engine is Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. It is categorized as a Agent Tool with 46 GitHub stars.
open-jev-typed-decision-engine is primarily written in Python. It covers topics such as agent-observability, calibration, colab.
You can find installation instructions and usage details in the open-jev-typed-decision-engine GitHub repository at github.com/intikhab49/open-jev-typed-decision-engine. The project has 46 stars and 3 forks, indicating an active community.
open-jev-typed-decision-engine is released under the Apache-2.0 license, making it free to use and modify according to the license terms.