awesome-llm-apps

From public sources

awesome-llm-apps is a free, Apache-2.0 open-source collection of 100+ AI agents, agent skills and RAG apps that developers can clone and run.

AI toolCategory: AI ToolsOpen sourcedata checked Oct 15, 2026

Overview

Building a working LLM application from scratch takes time, and most public examples are demos that break outside their original setup. awesome-llm-apps is an open-source collection of more than 100 AI agents, agent skills and RAG apps, each hand-built and tested end-to-end, so developers can start from a working project instead of a blank file. The catalog spans starter agents that run with a single API key, advanced multi-agent apps with tools and memory, always-on background agents that run on schedules, and agent skills that give coding assistants new abilities through a single install command. Projects work with Claude, Gemini, GPT, DeepSeek, Llama, Qwen and other open-source models. The repository is licensed under Apache-2.0. Developers and teams can clone any template, run it locally with pip install and a Streamlit command, and adapt it for their own use.
  • agent-skills
  • agents
  • llms
  • python
  • rag

Installation

Commands are shown, never run by the marketplace. Check them against the official documentation.

Compatibility

Unknown means no evidence was found — not that the product is incompatible.
PlatformStatusArchitectureEvidenceConfidence
WindowsUnknown———
macOSUnknown———
LinuxUnknown———
Web browserUnknown———
Server / self-hostedUnknown———
Container (OCI)Unknown———

Releases

checked Oct 29, 2026
No releases found on the source.

Quality profile

algorithm quality-v1.0 · assessed Oct 15, 2026
Quality Score86
Risk Score0
Confidence 1.00
Quality Score and Risk Score are different measures. A high score does not guarantee safety.

Score components

Maintenance · 2020
last activity 0 days ago
Documentation · 1515
README 25669 chars, description present
Ready to use · 159
install instructions: yes; releases: no
Metadata · 1010
4/4 of description, homepage, license, topics
Releases · 102
0 release(s)
Category confidence · 1010
classifier confidence 1
Adoption · 1010
141881 stars (log-dampened, 10k = max)
License clarity · 55
SPDX Apache-2.0
Community · 55
issues enabled, 20858 forks

License

Apache-2.0
Known licensefrom the repository host

This is the catalog policy status, not legal advice.

Sources

github.com/Shubhamsaboo/awesome-llm-appsPrimary★ 141,881 starslast activity Oct 15, 2026Primary repository · Confidence 1.00

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README

From Shubhamsaboo/awesome-llm-apps · license Apache-2.0 · fetched Oct 29, 2026

Awesome LLM Apps

100+ open-source AI agents, agent skills, and RAG apps. Hand-built, tested end-to-end, Apache-2.0.

Clone it, ship it, sell it - 100% free and open-source

Works with Claude, Gemini, GPT, DeepSeek, Llama, Qwen and other open-source models.

Step-by-step tutorials on Unwind AI · Quick start · Browse all templates

🚀 Run one now

Give your coding agent a new skill in 10 seconds:

npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/project-graveyard

Then ask it: "why do I never finish my side projects?"

Or clone and run any agent in 30 seconds:

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
pip install -r requirements.txt
streamlit run travel_agent.py

📬 New templates drop weekly. Get them in your inbox on Unwind AI.

📂 Browse all templates

🧩 Agent Skills

Give your coding agent new abilities. One command to install, plain English to use. Every skill ships real code and passes a security + eval CI gate. Works with Claude Code, Codex, Cursor, and other coding agents. Browse all skills →

  • ⚰️ Project Graveyard - Finds every side project you abandoned, tells you why each one died, and helps you finish the one worth going back to
  • 👁️ First Reader - Simulates real readers going through your draft and reports where they lose interest, where they stop reading, and what they remember afterward, without rewriting a word
  • 🔭 Scope Creep Detector - Checks whether a diff grew beyond its stated intent and recommends what to keep, split, or justify
  • 🏺 Commit Archaeologist - Reconstructs why a file or code region exists from its introducing commit, later edits, co-changes, and intent clues
  • 🩺 Dependency Doctor - Checks a dependency manifest for standard-library pins, obsolete backports, unpinned entries, duplicate constraints, and yanked releases
  • 🧠 Advisor Orchestrator Worker - Meta Loop with Claude Fable 5.1 as advisor, GPT-6 Astra as orchestrator, and Gemini 3.8 Flash as worker
  • 🎙️ Thinking Out Loud - Echoes a voice ramble back as a scannable brief, with the model's guesses quarantined and your reversals flagged
  • ♾️ Self-Improving Agent Skills - Automatically optimize agent skills using Gemini and ADK

🛠️ Standalone Apps & Tools

Standalone web apps, creative tools, and browser extensions for everyday workflows.

🌱 Starter AI Agents

Single-file agents that run with just an API key - a great place to start.

🚀 Advanced AI Agents

Production-style agents with tools, memory, and multi-step reasoning.

🛰️ Always-on Agents

Background agents that run on schedules or events, monitor changing context, decide what needs attention, and proactively deliver updates, artifacts, or actions.

🤝 Multi-agent Teams

Multiple agents collaborating to accomplish complex, cross-domain tasks.

🗣️ Voice AI Agents

Speech-in, speech-out agents using real-time voice APIs.

🖼️ Generative UI and Agentic Frontends

Agents that render interactive UI components, not just text: forms, cards, charts, editable plans.

🎮 Autonomous Game-Playing Agents

Agents that play games end-to-end: reasoning, strategy, and action.

♾️ MCP AI Agents

Agents that connect to external tools and data via Model Context Protocol.

📀 RAG (Retrieval Augmented Generation)

Retrieval pipelines, from simple chains to agentic and multi-source.

💾 LLM Apps with Memory

Agents and chatbots that remember conversations and user state across sessions.

💬 Chat with X

Turn any data source into a chat interface.

🎯 LLM Optimization Tools

Reduce token usage, context size, and API cost without losing quality.

🔧 LLM Fine-tuning

End-to-end fine-tuning recipes for open-source models.

🧑‍🏫 AI Agent Framework Crash Courses

Deep-dive tutorials on the major agent frameworks.

  • Google ADK Crash Course - Starter agent, structured outputs, tools (built-in, function, third-party, MCP), memory, callbacks, plugins, and multi-agent patterns. Model-agnostic.
  • OpenAI Agents SDK Crash Course - Starter agent, function calling, structured outputs, tools, memory, evaluation, handoffs, swarm orchestration, and routing logic.

⭐ Star the repo to get notified when new templates drop.

Apache-2.0 · See LICENSE · Fork it, ship it, sell it.

Open the repository ↗