# Shubhamsaboo/awesome-llm-apps

> A collection of 100+ open-source AI agents, agent skills, and RAG apps in Python with ready templates and step-by-step tutorials. Aimed at developers who want to quickly run or adapt an agent for their tasks.

- Magnitude: 2.9 out of 10 — Steady
- Stars: 143,360 total · +12 stars measured 2026-10-29, 00:05–05:01 UTC, ≈ 83 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: Apache-2.0 · Created: 2024-04-29 · Last push: 2026-10-22
- GitHub: https://github.com/Shubhamsaboo/awesome-llm-apps · Homepage: https://www.theunwindai.com · Page: https://gitnova.dev/en/r/Shubhamsaboo/awesome-llm-apps

## Useful for

- Run a ready-made agent from a template with a single streamlit run command
- Add a skill to a coding agent via npx skills add to analyze a repository
- Build your own agent based on the starter and advanced examples

## Why it’s here

- Star-counter measurements on 2026-10-29 (UTC), 00:05–05:01: 143348 → 143360 stars (+12). This is the change over that interval.
- Estimated end-of-day forecast: about +83 stars, using observed gains and the previous day.
- About 16 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: 21,090
- Issues and pull requests: 1,092
- Watchers: 1,308
- Average over the last week: 110 per day
- Usual pace: 130 per day
- Stars in the last hour (measured): 1

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-30 … 2026-10-29: 146, 99, 78, 92, 82, 82, 98, 70, 94, 184, 185, 142, 144, 198, 165, 151, 139, 111, 99, 109, 125, 124, 196, 111, 141, 109, 130, 96, 100, 12

## Magnitude by day, last 14 days

10-14 3.8, 10-15 4.0, 10-16 3.8, 10-17 3.3, 10-18 3.1, 10-19 3.2, 10-20 3.1, 10-21 3.2, 10-22 3.5, 10-25 3.3, 10-26 3.3, 10-27 3.2, 10-28 3.1, 10-29 3.0

## More in this category

1. **HKUDS/DeepTutor** — 8.8 · Breakout · AI agents · Python · +469 stars measured 2026-10-29, 00:02–04:58 UTC, ≈ 1,968 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. **elayadesign/ai-design-skills** — 7.9 · Breakout · AI agents · +252 stars measured 2026-10-29, 00:02–04:58 UTC, ≈ 1,285 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
3. **anonnerdfrenzy/survival-llm** — 7.7 · Early signal · AI agents · Python · +53 stars measured 2026-10-29, 00:02–04:58 UTC, ≈ 352 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
4. **unclebob/ub-mode** — 7.7 · Breakout · AI agents · +216 stars measured 2026-10-29, 00:02–04:58 UTC, ≈ 1,098 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. **pbakaus/impeccable** — 7.6 · Breakout · AI agents · Rust · +628 stars measured 2026-10-29, 00:02–04:58 UTC, ≈ 2,532 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

---

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 05:11 UTC, updated every 30 minutes.