Jev Deep Research

Jev Deep Research integrates Jev into a research agent that locates relevant source regions with Choice and Noul, then returns verbatim passages for verification.

Open source

sunyasheng@sunyasheng

Research-agent integration where Jev locates relevant source regions with Choice and Noul, then code returns verbatim passages for verification.

Sep 30, 2026GitHubView on GitHub

Also filed under Research & data

Jev-Powered Research Paper Radar
JEV Paper Radar is a scheduled research-paper radar that asks Jev whether each paper matches configured interests and exclusions, then publishes ranked web and feed output.
Jev Reranks Knowledge Search Results
You.com uses Jev through OpenRouter as a reranking layer for Knowledge in its Web Search API, selecting relevant results between retrieval and synthesis. The setup used 3x fewer tokens and achieved 84% accuracy on the Vertical RTK benchmark.
Simulates Text Attention
The build uses JEV to simulate the attention mechanism by approximating an attention score for each pair of words in a text. It treats texts as bidimensional entities.
Hermes Researches YouTube, X, and LN
Nabendu Biswas uses Jev in a Hermes agent to research YouTube, X, and LN.