# sourcepro5/WeChatAgent > A Windows app that turns WeChat into an AI chat companion with persona dialogues and separate context per friend/group, plus a remote entry point for tasks via DSH. - Magnitude: 3.2 out of 10 — Peaking - Stars: 1,843 total · +23 stars measured 2026-10-26, 14:55–17:43 UTC, ≈ 43 by evening - Star trust: star growth looks organic - Category: AI agents · Language: JavaScript · Created: 2026-10-02 · Last push: 2026-10-26 - GitHub: https://github.com/sourcepro5/WeChatAgent · Page: https://gitnova.dev/en/r/sourcepro5/WeChatAgent ## Useful for - Connect WeChatAgent to WeChat and set up persona-based auto-replies for friends and groups - Configure assistant mode and delegate tasks via WeChat using authorized DSH tools - Install ZIP plugins to extend capabilities: web search, page reading, notes ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 14:55–17:43: 1820 → 1843 stars (+23). This is the change over that interval. - Estimated end-of-day forecast: about +43 stars, using observed gains and the previous day. - Elevated gains were measured on the last 3 completed UTC days in a row. Continued growth is not guaranteed. - The repository is 24 days old and already has 1,843 stars. - Top new repositories this month: #96. ## Star trust Star growth looks organic. - Fewer forks than usual: 21 for 1,843 stars. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 21 - Issues and pull requests: 22 - Watchers: 0 - Average over the last week: 207 per day - Usual pace: 12 per day - Stars in the last hour (measured): 5 - Latest release: v0.4.1 (2026-10-25) ## Stars per day, last 25 days (oldest → newest, today is partial) 2026-10-02 … 2026-10-26: 0, 0, 0, 0, 1, 0, 2, 4, 5, 3, 1, 2, 6, 8, 22, 33, 52, 134, 185, 223, 268, 287, 213, 231, 23 ## Spotted in now - Top new repositories this month: #96 ## More in this category 1. **makecindy/cindy** — 8.4 · Breakout · AI agents · TypeScript · +1,307 stars measured 2026-10-26, 00:11–17:39 UTC, ≈ 1,697 by evening Cindy is an open-source AI agent that combines multiple harnesses (Claude Code, Codex), models and tools into one agent working locally with your real files and apps. This repo is the client: Electron desktop and Expo/React Native mobile… Full card: https://gitnova.dev/en/r/makecindy/cindy.md 2. **AgriciDaniel/claude-seo** — 8.3 · Breakout · AI agents · Python · +1,091 stars measured 2026-10-26, 00:11–17:39 UTC, ≈ 1,437 by evening SEO analysis plugin for Claude Code: 26 sub-skills and 19 agents run in parallel across technical SEO, E-E-A-T, Schema.org, GEO/AEO, local and international SEO, producing a prioritized action plan. Full card: https://gitnova.dev/en/r/AgriciDaniel/claude-seo.md 3. **TauricResearch/TradingAgents** — 8.2 · Breakout · AI agents · Python · +1,124 stars measured 2026-10-26, 00:12–17:39 UTC, ≈ 1,478 by evening A framework that simulates a trading firm with LLM agents (analysts, researchers, trader, risk manager) debating markets and producing trading decisions. Built for research, not real trading. Full card: https://gitnova.dev/en/r/TauricResearch/TradingAgents.md 4. **elayadesign/ai-design-skills** — 8.2 · Breakout · AI agents · +534 stars measured 2026-10-26, 12:25–17:39 UTC, ≈ 846 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 5. **t3dotgg/tstack** — 7.7 · Early signal · AI agents · Python · +1,121 stars measured 2026-10-26, 07:47–17:39 UTC, ≈ 1,404 by evening A collection of reusable agent skills for Claude Code and Codex that automate pull request workflows, from filing and reviewing to merging, plus peer review by multiple models. Full card: https://gitnova.dev/en/r/t3dotgg/tstack.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 2026-10-26 18:01 UTC, updated every 30 minutes.