# agentscope-ai/QwenPaw > Personal AI assistant deployable locally or in the cloud, with three-layer memory, Skills and plugins, connectable to DingTalk, Lark, WeChat, Discord, Telegram and other channels. - Magnitude: 3.6 out of 10 — Peaking - Stars: 36,835 total · +19 stars measured 2026-10-29, 10:43–12:57 UTC, ≈ 52 by evening - Star trust: star growth looks organic - Category: AI agents · Language: TypeScript · License: Apache-2.0 · Created: 2026-02-24 · Last push: 2026-10-29 - GitHub: https://github.com/agentscope-ai/QwenPaw · Homepage: http://qwenpaw.agentscope.io/ · Page: https://gitnova.dev/en/r/agentscope-ai/QwenPaw ## Useful for - Schedule recurring news digests pushed to Telegram and Discord - Process and convert PDF, Word, Excel and PowerPoint files via the assistant - Deploy a local instance with QwenPaw-Flash without API keys or cloud dependencies ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 10:43–12:57: 36816 → 36835 stars (+19). This is the change over that interval. - Estimated end-of-day forecast: about +52 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. - GitHub Trending TypeScript today: #8, +116 stars. - About 7 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: 3,235 - Issues and pull requests: 8,284 - Watchers: 111 - Average over the last week: 130 per day - Usual pace: 36 per day - Stars in the last hour (measured): 13 - Latest release: v2.3.0-beta.1 (2026-10-27) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: 27, 21, 23, 19, 23, 25, 23, 33, 33, 38, 34, 44, 28, 34, 52, 35, 42, 47, 29, 27, 37, 38, 59, 61, 69, 174, 227, 208, 120, 19 ## Spotted in now - GitHub Trending TypeScript today: #8, +116 stars ## More in this category 1. **HKUDS/DeepTutor** — 8.8 · Breakout · AI agents · Python · +1,194 stars measured 2026-10-29, 00:02–12:55 UTC, ≈ 2,141 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 2. **pbakaus/impeccable** — 8.1 · Breakout · AI agents · Rust · +1,691 stars measured 2026-10-29, 00:02–12:55 UTC, ≈ 2,967 by evening A set of commands and detector rules for AI coding agents that helps them produce better frontend design instead of generic templates. Installs as a skill into Claude Code, Cursor, Codex and other harnesses. Full card: https://gitnova.dev/en/r/pbakaus/impeccable.md 3. **elayadesign/ai-design-skills** — 7.9 · Breakout · AI agents · +662 stars measured 2026-10-29, 00:02–12:55 UTC, ≈ 1,256 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 4. **unclebob/ub-mode** — 7.8 · Breakout · AI agents · +537 stars measured 2026-10-29, 00:02–12:55 UTC, ≈ 1,029 by evening An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory. Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md 5. **anonnerdfrenzy/survival-llm** — 7.6 · Early signal · AI agents · Python · +131 stars measured 2026-10-29, 00:02–12:55 UTC, ≈ 278 by evening A local offline LLM assistant with a library of ~1.5M survival, medical and how-to articles; every answer cites the exact source passage. Full card: https://gitnova.dev/en/r/anonnerdfrenzy/survival-llm.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 2026-10-29 13:11 UTC, updated every 30 minutes.