awesome-jev

by yibie · AI Tool · ★ 2.4k

About awesome-jev

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.

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Quick Facts

Stars2,389
Forks384
LanguagePython
CategoryAI Tool
Quality Score58.3292332723945/100
Open Issues5
Last Updated2026-10-17
Created2026-09-17
Platformspython
Est. Tokens~18k

Compatible Skills

These tools work well together with awesome-jev for enhanced workflows:

  • awesome-model-routing — semantic(0.51)+complementary+same_lang+similar_pop+shared_platform (68%)
  • awesome-mcp-gateways — semantic(0.45)+complementary+same_lang+similar_pop+shared_platform (66%)
  • awesome-ai-tools — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (65%)

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Frequently Asked Questions

What is awesome-jev?

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 AI Tool with 2.4k GitHub stars.

What programming language is awesome-jev written in?

awesome-jev is primarily written in Python. It covers topics such as awesome, awesome-list, jev.

How do I install or use awesome-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 384 forks, indicating an active community.

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