awesome-llm-apps
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
The awesome-llm-apps MCP server provides access to over 100 production-ready AI agent templates, agent skills, and RAG applications. It includes starter agents, advanced multi-agent systems, voice AI agents, generative UI frontends, and autonomous game-playing agents. Every template is hand-built, end-to-end tested, and released under the Apache-2.0 license. The collection works with Claude, GPT, Gemini, DeepSeek, Llama, Qwen, and other open-source models, enabling developers to clone, customize, and deploy agents for real-world use cases.
Key Features
Use Cases
- 01Add pre-built skills to coding agents for tasks like dependency audits, commit archaeology, and scope creep detection
- 02Deploy production-grade multi-agent systems for VC due diligence, fraud investigation, or sales intelligence
- 03Build retrieval-augmented generation pipelines for chatting with PDFs, research papers, Gmail, or GitHub repositories
- 04Create voice-first agents for customer support, insurance claims, or self-guided audio tours
- 05Develop generative UI applications that render dashboards, financial plans, or interactive components on demand
- 06Run autonomous game-playing agents for chess, tic-tac-toe, or 3D PyGame environments with reasoning and strategy
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awesome-llm-apps — FAQ
What is the awesome-llm-apps MCP server?+
It is an open-source collection of over 100 AI agent templates, agent skills, and RAG applications distributed as a GitHub repository. The templates cover starter agents, advanced multi-agent systems, voice AI, generative UI, and MCP-connected agents, all licensed under Apache-2.0 for commercial use.
How do I install and use an agent skill from awesome-llm-apps?+
Run npx skills add followed by the skill's GitHub URL to install it into your coding agent. Once installed, you can invoke the skill using plain English prompts within Claude Code, Codex, Cursor, or other compatible coding agents.
Which AI clients and frameworks does awesome-llm-apps support?+
The templates work with Claude, GPT, Gemini, DeepSeek, Llama, Qwen, and other open-source models. Agent skills are compatible with Claude Code, Codex, and Cursor, while the repository includes crash courses for Google ADK and OpenAI Agents SDK.
Do I need API keys to run agents from awesome-llm-apps?+
Most templates require API keys for cloud LLM providers like OpenAI, Anthropic, or Google. Some templates support fully local execution using Llama, DeepSeek, or other open-source models without any external API dependencies.
Is awesome-llm-apps free to use?+
Yes, the entire repository is released under the Apache-2.0 license, allowing you to clone, modify, and use the templates for personal or commercial projects at no cost. LLM API usage may incur costs depending on your provider.
How do I run a standalone agent from the repository?+
Clone the repository, navigate to the agent's directory, install dependencies with pip install -r requirements.txt, and run the agent using Python or Streamlit. Most starter agents are single-file applications that require only an API key to function.
How do I install awesome-llm-apps?+
Open the source repository on GitHub and follow its README. awesome-llm-apps is a mcp server — MCP Agents Market links you directly to the official repo.
Is awesome-llm-apps free?+
awesome-llm-apps is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.