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Shubhamsaboo/awesome-llm-apps

Shubhamsaboo · personal account · GitHub id 31396011
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100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

agentsagentsllmspythonrag
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Stars
143k
Velocity
157.1★/day
Forks
21k
Language
Python
Created
2024-04-29 (2.5y)
Last push
2026-10-22
Category
agents
GitPad score
100/100
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In short

Awesome LLM Apps is a Python collection of more than 100 open-source AI agents, agent skills, and retrieval-augmented generation (RAG) applications, organized into categories such as agent skills, standalone apps, and starter agents. The README describes each template as a self-contained example that works with models from several providers, including Claude, Gemini, GPT, DeepSeek, Llama, and Qwen, and gives run instructions as a clone-and-launch workflow, for example a Streamlit travel agent that runs after installing its requirements. The excerpt is limited to the index of templates and does not show the internal architecture or evaluation details of most individual projects.

Written by GitPad research from the repo’s public material. The full text follows below.

README · straight from GitHub

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

Featured on Trendshift as the #1 repository of the day
Project Graveyard: an agent that autopsies your dead side projects Project Graveyard Insurance Claim Live Agent Team: voice claims settled in real time Insurance Claim Live Agent Team AI Fraud Investigation Agent: public records, cross-examined AI Fraud Investigation Agent
Self-Improving Agent Skills: skills that rewrite themselves against evals Self-Improving Agent Skills AI Home Renovation Agent: photo in, photoreal redesign out AI Home Renovation Agent Always-on HN Briefing Agent: it reads Hacker News while you sleep Always-on HN Briefing Agent

🚀 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.

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