⬢github Python · 593 ★ +1 since we first saw it · pushed 4 d ago · NOASSERTION
kydlikebtc/awesome-jev
1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/中文, JSON schema and platform compatibility.
awesome-jev is a curated catalogue of ~1,207 public resources about Jev, TypeSafe AI's decision model that takes state plus typed questions and returns typed, confidence-calibrated answers. Resources are organized by decision pattern (tool selection, intent routing, context compaction), with source citations, dated link checks, and English/Chinese versions — but runtime and performance claims are not independently tested.
Why now: It appears among recently created, most-starred repos, suggesting attention for its heavily vetted, decision-pattern-indexed coverage of the Jev ecosystem.
Who it is for: Developers building LLM agents who want to use Jev for fast, structured decisions like tool selection or intent routing.
agent-toolsai-agentsawesomeawesome-listcalibrationcatalogclassificationcontext-compactiondecision-modelintent-routing
Stars over our 45 snapshots: 592 to 593, since 11 h ago.
Where people talked about it
- ⬢github new repos, most starred 5 h ago
API: https://socialmediatrends-api.osmike.com/v1/repos/kydlikebtc/awesome-jev