# shengjidaguai-china/goutoujunshi-jev-chat > Cross-platform chat copilot that reads the WeChat conversation on screen, analyzes the other side's intent and suggests reply drafts in a floating window. Sending is always left to the user. - Magnitude: 2.7 out of 10 — Early signal - Stars: 71 total · +0 stars today, ≈ 22 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-09-23 · Last push: 2026-09-26 - GitHub: https://github.com/shengjidaguai-china/goutoujunshi-jev-chat · Page: https://gitnova.dev/en/r/shengjidaguai-china/goutoujunshi-jev-chat ## Useful for - Read an open WeChat conversation and get an analysis of the other side's possible intent - Generate several reply candidates and insert the chosen one into the input box as a draft - Import a chat CSV and view the relationship trend over time ## Why it’s here - 0 stars so far today, about 22 expected by the end of the day. - The spike has held for 3 days in a row — not a one-off blip. - The repository is 4 days old and already has 71 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #187. ## 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: 6 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 19 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 - Latest release: v0.1.3-preview (2026-09-26) ## Stars per day, last 8 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-27: 0, 0, 0, 8, 22, 16, 26, 0 ## Spotted in now - Top new repositories this week: #187 ## Similar by description 1. **jev-chat/jev-chat-jarvis** — 4.1 · Cooling · AI agents · Kotlin · +0 stars today, ≈ 111 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-windows** — 2.7 · Cooling · AI agents · Python · +0 stars today, ≈ 22 by evening 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. Full card: https://gitnova.dev/en/r/jev-chat/jev-chat-windows.md 3. **Liyucheng1997/332_lab-jev-chat** — 1.5 · Cooling · AI agents · Kotlin · +0 stars today, ≈ 8 by evening A non-invasive chat assistant: it reads on-screen conversations (Android via Accessibility, Windows via UI Automation or OCR), the Jev model judges intent and risk, a generative model drafts 3 replies shown in an overlay and filled into… Full card: https://gitnova.dev/en/r/Liyucheng1997/332_lab-jev-chat.md 4. **jev-chat/jev-chat-jarvis-mac** — 1.7 · Cooling · AI agents · Python · +0 stars today, ≈ 8 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 5. **FerryCorleone/crush-monitor** — 1.0 · Cooling · AI agents · TypeScript · +0 stars today, ≈ 5 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 --- 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 2026-09-27 01:40 UTC, updated every 30 minutes.