# tswawa/WechatVibe > Desktop client for analyzing emotions and intents in WeChat chats: recognizes intents, emotions, builds profiles of contacts and groups, scores affinity and infers MBTI. Runs locally on the Laya ONNX model or via a compatible API. - Magnitude: 4.8 out of 10 — Early signal - Stars: 95 total · +59 stars today, ≈ 78 by evening - Star trust: star growth looks organic - Category: Apps · Language: Python · License: Apache-2.0 · Created: 2026-09-23 · Last push: 2026-09-26 - GitHub: https://github.com/tswawa/WechatVibe · Page: https://gitnova.dev/en/r/tswawa/WechatVibe ## Useful for - Review emotions and intents in chat history with a specific person - Build a group member profile from their messages and MBTI guess - Assess overall mood and activity in a group chat ## Why it’s here - 59 stars so far today, about 78 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 3 days old and already has 95 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #157. - About 29 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: 13 - Issues and pull requests: 2 - Watchers: 0 - Average over the last week: 28 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 4 - Latest release: v1.0.4 (2026-09-25) ## Stars per day, last 7 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-26: 0, 0, 0, 0, 3, 33, 59 ## Spotted in now - Top new repositories this week: #157 ## Similar by description 1. **FerryCorleone/crush-monitor** — 1.3 · Cooling · AI agents · TypeScript · +6 stars today, ≈ 9 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 2. **jev-chat/jev-chat-windows** — 3.2 · Cooling · AI agents · Python · +21 stars today, ≈ 29 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. **jackwener/wx-cli-again** — 1.1 · Cooling · Productivity & self-hosted · Rust · +3 stars today, ≈ 4 by evening A Rust CLI for querying local WeChat data: sessions, chat history, search, contacts, group members, favorites, stats and export. It decrypts local SQLCipher databases and returns JSON output designed for AI agents. Full card: https://gitnova.dev/en/r/jackwener/wx-cli-again.md 4. **wwebjs/whatsapp-web.js** — 1.2 · Steady · Backend & databases · JavaScript · +2 stars today, ≈ 3 by evening A Node.js library for interacting with WhatsApp Web via Puppeteer: send and receive messages, media, manage groups and contacts, and build bots or APIs on top of the web client. Full card: https://gitnova.dev/en/r/wwebjs/whatsapp-web.js.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 2026-09-26 17:15 UTC, updated every 30 minutes.