172kHTML+123/daypushed 1d ago
Use it for: Browse, share and collect community prompts for ChatGPT, Claude, Gemini and other AI models, or self-host your own prompt library.
Quick start
- Browse prompts at prompts.chat or in the PROMPTS.md file
- Copy a prompt into your preferred AI chat assistant
- Add your own prompts at prompts.chat/prompts/new
- Follow the README self-hosting section to run it privately for your organization
158kTypeScript+124/daypushed 0d ago
Use it for: Build and ship AI apps with visual workflows, RAG pipelines, agents and model management in one self-hostable workspace.
Quick start
- Make sure Docker and Docker Compose v2.24.0+ are installed (2 CPU cores, 4 GiB RAM minimum)
- Run `cd dify`, `cd docker`, and `cp .env.example .env`
- Start the server with `docker compose up -d`
- Open http://localhost/install in your browser and complete initialization
154kPython+140/daypushed 0d ago
Use it for: Chat with local or cloud AI models in a self-hosted, offline-capable web interface that works with Ollama and OpenAI-compatible APIs.
Quick start
- Clone the repo and follow the README install section
- Start the server, using Docker if the README recommends it
- Connect Ollama or an OpenAI-compatible API in the settings
- Open the web interface and start chatting with a model
141kPython+158/daypushed 9d ago
Use it for: Run and adapt over 100 open-source AI agents, agent skills and RAG app templates as starting points for your own projects.
Quick start
- Run `git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git`
- Run `cd awesome-llm-apps/starter_ai_agents/ai_travel_agent`
- Run `pip install -r requirements.txt`
- Run `streamlit run travel_agent.py`
121kJupyter Notebook+100/daypushed 2d ago
Use it for: Learn how to build generative AI applications through a 21-lesson beginner-friendly course.
Quick start
- Clone the repo or open it on GitHub
- Start with the first lesson in the course
- Work through the lessons in order and run the code examples
88.1kTypeScript+321/daypushed 0d ago
Use it for: Watch a real-time dashboard of global news, geopolitical events, and infrastructure, with AI-synthesized briefs and map views.
Quick start
- Clone the repo and follow the README install section
- Start the dashboard locally
- Explore the news feeds, 3D globe, and flat map panels
78.9kMDX+57/daypushed 212d ago
Use it for: Learn prompt engineering, context engineering, RAG and AI agents through guides, papers, lessons and notebooks.
Quick start
- Open the web version of the guide at promptingguide.ai
- Read the guides on prompting techniques
- Try the notebooks and examples with your own LLM
- Explore the papers and resources for deeper study
69.3kPython+132/daypushed 0d ago
Use it for: Browse a collection of documented system prompts from popular chatbots and AI tools to study how they are instructed.
Quick start
- Open the repo on GitHub
- Browse the files for the provider or model you are interested in
- Read the system prompts and compare approaches
66.9kJavaScript+55/daypushed 0d ago
Use it for: Chat with your documents and run AI agents in a private, self-hosted, multi-user app that works with local or cloud LLMs.
Quick start
- Download the desktop app for Mac, Windows or Linux
- Connect a local or cloud LLM of your choice
- Upload your documents
- Start chatting with your docs or use the built-in agents
66.2kPython+323/daypushed 0d ago
Use it for: Learn AI engineering through a 523-lesson, 20-phase curriculum covering model internals, retrieval pipelines and agent runtimes.
Quick start
- Open the Start learning link on the website, beginning with setup and tooling
- Choose a learning route such as model foundations, LLM systems, or agents
- Try a lab or build a project from the challenges
66.1kPython+242/daypushed 5d ago
Use it for: Get daily AI-written stock analysis reports across multiple markets, with news and data, pushed automatically to chat apps or email.
Quick start
- Read the Quick Start section of the README
- Fork the repo or use the Docker image, then add your LLM and data API keys
- Configure your watchlist and notification channels such as WeCom, Telegram or email
- Run it on a schedule with GitHub Actions, Docker or a local job
