# jev-chat/jev-chat-windows

> A reply helper for WeChat on Windows: it captures the window, reads incoming messages with offline OCR, infers the other person's intent, and offers 3 candidate replies to insert into the input box. Sending is always manual.

- Magnitude: 5.9 out of 10 — Early signal
- Stars: 150 total · +76 stars today, ≈ 150 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-09-21 · Last push: 2026-09-22
- GitHub: https://github.com/jev-chat/jev-chat-windows · Page: https://gitnova.dev/en/r/jev-chat/jev-chat-windows

## Useful for

- Insert a suggested reply into WeChat and send it manually after editing
- Check the OCR-recognized chat text in real time to spot reading errors
- Pick a target person in a group chat to get three reply options addressed to them

## Why it’s here

- 76 stars so far today, about 150 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 150 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #128.
- About 114 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 34
- Issues and pull requests: 3
- Watchers: 1
- Average over the last week: 115 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 33
- Latest release: v0.1.8 (2026-09-22)

## Stars per day, last 3 days (oldest → newest, today is partial)

2026-09-20 … 2026-09-22: 0, 79, 76

## Spotted in now

- Top new repositories this week: #128

## Similar by description

1. **jev-chat/jev-chat-jarvis** — 8.2 · Breakout · AI agents · Kotlin · +624 stars today, ≈ 1,688 by evening
   Android app that reads the on-screen chat via AccessibilityService, judges the other side's intent with the Jev model, and shows 3 ranked reply drafts in a translucent overlay. Replies are filled into the input box but sent manually.
   Full card: https://gitnova.dev/en/r/jev-chat/jev-chat-jarvis.md
2. **jev-chat/jev-chat-jarvis-mac** — 5.5 · Early signal · AI agents · Python · +44 stars today, ≈ 92 by evening
   A macOS app that OCR-reads WeChat messages on screen and uses a local model to classify intent and risk, suggesting reply candidates. Read-only, with no injection into WeChat.
   Full card: https://gitnova.dev/en/r/jev-chat/jev-chat-jarvis-mac.md
3. **FerryCorleone/crush-monitor** — 4.6 · Early signal · AI agents · TypeScript · +10 stars today, ≈ 42 by evening
   A local web tool that analyzes WeChat chat logs copied from the app using the Jev model: it shows emotions, intents, a liking-signal score and grades your own replies. Runs on your machine with your own TypeSafe API key.
   Full card: https://gitnova.dev/en/r/FerryCorleone/crush-monitor.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-22 09:34 UTC, updated every 30 minutes.