# Shubhamsaboo/awesome-llm-apps

100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

Repository: https://github.com/Shubhamsaboo/awesome-llm-apps
Canonical: https://ross.abutalabs.com/products/awesome-llm-apps
Homepage: https://www.theunwindai.com
Language: Python
License: Apache-2.0
License Family: permissive
Topics: llms, rag, python, agents
Last push: 2026-08-22T04:01:54+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 61
- inputs: {"age_days": 856, "days_push": 11, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 134607, forks 19776 (observed 2026-08-28T04:12:24.241063+00:00)

## What it is
A curated collection of 100+ open-source AI agents, agent skills, and RAG applications built in Python, released under Apache-2.0. It serves as a cookbook of tested, end-to-end templates that work with Claude, Gemini, GPT, DeepSeek, Llama, Qwen, and other models.

## Use cases
- find open-source AI agent examples to clone and adapt
- learn how to build RAG applications with LLMs
- get starter templates for multi-agent AI apps
- add ready-made agent skills to coding agents like Claude Code
- build a travel planning or research AI agent
- study working implementations of voice AI agents
- bootstrap an AI app project instead of starting from scratch

## When to choose
- you want tested, runnable agent and RAG code examples in Python
- you need inspiration or a starting point for building LLM-powered apps
- you want to learn agent patterns through hands-on projects
- you need permissively licensed (Apache-2.0) code you can ship or sell

## When to avoid
- you need a production-grade framework or SDK with APIs and versioning guarantees
- you want a single maintained library rather than a collection of independent examples
- you are not working with LLMs, agents, or RAG

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, rag, llm-inference, chatbot, prompt-engineering
- domain: artificial-intelligence, large-language-models, tutorials, developer-tools
- platform: python, cross-platform
- tags: awesome-list, ai-agents, rag-apps, agent-skills, starter-templates, open-source-cookbook, retrieval-augmented-generation

## Member repositories
- Shubhamsaboo/awesome-llm-apps (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:24.241063+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:11:30.354748+00:00, confidence not recorded.
  - readme: https://github.com/Shubhamsaboo/awesome-llm-apps (fetched 2026-08-28T04:12:24.241063+00:00, sha 4f2dcb48f238)
  - homepage: https://www.theunwindai.com (fetched 2026-08-28T17:26:42.327116+00:00, sha 0a3483a23317)
  - site_page: https://www.theunwindai.com/c/about-us (fetched 2026-08-28T17:26:42.335769+00:00, sha 6187b756a6a1)
- Data as of 2026-08-30T08:39:29.467469+00:00.