awesome-jev A curated awesome list of public projects and practices built on Jev, TypeSafe AI's System One model for typed decisions. This README is the homepage aggregate of the current category files, so the latest accepted entries are visible here without drilling into subpages. Jev is not a chat model. It takes unstructured state plus a typed question and returns a typed decision — a choice, a score, or a boolean, each with a confidence. That makes it a drop-in decision layer for software: classification, routing, rubric scoring, verification, and agent guardrails.
| Stars | 2,412 |
| Forks | 392 |
| Language | Python |
| Category | LLM 插件 |
| Quality Score | 58.3292332723945/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-19 |
| Created | 2026-09-17 |
| Platforms | python |
| Est. Tokens | ~18k |
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awesome-jev is A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.. It is categorized as a LLM 插件 with 2.4k GitHub stars.
awesome-jev is primarily written in Python. It covers topics such as awesome, awesome-list, jev.
You can find installation instructions and usage details in the awesome-jev GitHub repository at github.com/yibie/awesome-jev. The project has 2.4k stars and 392 forks, indicating an active community.