Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
jev-chat-windows-laya
Windows 版微信聊天副驾(上游 fork):本地 laya 判断引擎免密钥运行 + 修复高缩放屏抓取错位 Windows fork of jev-chat: key-free local laya judge + DPI-aware screen capture fix
Project facts
- Relationship to Jev
- Integration
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-22
- GitHub stars
- 4
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
A non-invasive, real-time conversation-understanding layer that sits beside any chat surface. It reads whatever conversation is on screen (no app integration, no account), uses Jev for typed judgments plus a generative model for 3 ranked candidate replies, shows them in a translucent overlay, and fills the input box — you press send. WeChat on Android is just the first platform we proved it on.
Evidence commit: 0c5ceeef2ab85d529bdb0765e24e9b059ef10d8c
Discovered through: github-search.
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