Living collection
Infrastructure and privacy | Open Source Apps That Replace Paid Software
23 resourcesOrganized by use
Infrastructure and privacy
Infrastructure and privacy
2 resourcesFull profiles and sources
Awesome LLM Apps
Collection of more than 100 Python applications with runnable code for RAG, agents and chatbots across providers, for learning by building.
Why it belongs here. It brings together more than 100 open source resources spanning agents, skills and RAG applications, with memory, MCP and multi-agent team examples under Apache-2.0.
Its limit. Recipes are not production-ready products: each project requires checking dependencies, keys, data, security and external costs.
In plain English: choose an application close to your idea, run it and modify its code instead of starting from an empty folder.
Compatibility and setupRequirements and agent differences
Compatibility. Install locally by cloning the repository. Requires Python, pip and keys for the model or service used. Includes examples for Claude, Gemini, GPT, DeepSeek, Llama, Qwen, Streamlit, MCP and several agent frameworks.
Real cost and licenseResource, agent and extra costs
Cost. The code costs €0 and is published under Apache-2.0. APIs, hosting and connected services have their own costs, but the dossier supplies no verified prices to quantify them.
Example and alternativeWhen it helps and what else to use
Example. Clone the repository, open starter_ai_agents/ai_travel_agent, install requirements.txt and run travel_agent.py with Streamlit.
Alternative. Following scattered tutorials or building your own starter structure gives you more control, but leaves you responsible for architecture and integration from scratch.
Sources and reviewWhat is documented and what was tested
Review. Information checked on 23 September 2026 against the official introductory file and repository details; no personal tests or production results are claimed.
Resource detailsEditorial profile and links
- Replaces: scattered tutorials and your own boilerplate for LLM apps
- Deployment: self-hosted
- Platforms: Python, Streamlit, OpenAI, Anthropic, Google Gemini, Ollama, LangChain, LlamaIndex, CrewAI
- Watch out: Most apps require API keys from paid providers such as OpenAI, Anthropic and Google; only some work with local models through Ollama
Trek
App
Sources checked: 6 Sep 2026
Planning group trips with real-time collaborative itineraries, shared budgets and interactive maps
Self-hosted travel planner with real-time collaboration, maps, budgets, packing lists, a journal and an integrated AI assistant.
Best for: Planning group trips with real-time collaborative itineraries, shared budgets and interactive maps
Resource detailsEditorial profile and links
- Replaces: Wanderlog, TripIt
- Deployment: self-hosted, web
- Platforms: Docker, Docker Compose, Kubernetes/Helm, Unraid, Proxmox, Raspberry Pi, PWA (iOS/Android)
- Watch out: Full place search requires a Google Places API key; without one it uses OpenStreetMap with more limited results
