jevreel
作者 DeepAleph
原文简介(英语):A zero-embedding approach to video intelligence, using Jev: contact sheets + typed decisions, as MCP tools and a skill for any coding agent.
仓库介绍
仓库作者的原文介绍(英语):A zero-embedding approach to video intelligence, using Jev: contact sheets + typed decisions, as MCP tools and a skill for any coding agent.
收录证据
每日检查在原始 README 中找到明确的 Jev / TypeSafe AI 关联,并核对同一提交中存在实现文件。
jevreel lays a video out on labelled contact sheets, one frame per second and sixty frames to an image, and has [Jev](https://docs.typesafe.ai), TypeSafe's fast decision model, judge every sheet in parallel. The best windows are re-checked on full frames. Your agent (Claude Code, Codex, Cursor, Claude Desktop, anything
自动核对公开仓库、固定提交的 README 与实现文件;未运行、性能测试或安全审计。