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100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
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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
Project Graveyard
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Insurance Claim Live Agent Team
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AI Fraud Investigation Agent
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Self-Improving Agent Skills
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AI Home Renovation Agent
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Always-on HN Briefing Agent
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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
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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 →
Single-file agents that run with just an API key - a great place to start.
Production-style agents with tools, memory, and multi-step reasoning.
Background agents that run on schedules or events, monitor changing context, decide what needs attention, and proactively deliver updates, artifacts, or actions.
Multiple agents collaborating to accomplish complex, cross-domain tasks.
Speech-in, speech-out agents using real-time voice APIs.
Agents that render interactive UI components, not just text: forms, cards, charts, editable plans.
Agents that play games end-to-end: reasoning, strategy, and action.
Agents that connect to external tools and data via Model Context Protocol.
Retrieval pipelines, from simple chains to agentic and multi-source.
Small tools that bring AI into everyday browsing.
Agents and chatbots that remember conversations and user state across sessions.
Turn any data source into a chat interface.
Reduce token usage, context size, and API cost without losing quality.
End-to-end fine-tuning recipes for open-source models.
Deep-dive tutorials on the major agent frameworks.