# Agentic Smart Community ::::{container} component_header_row
GitHub Readme
> Note! > This is a sample application **intended for evaluation and development purposes only**. For more information, refer to [Intended Use](https://docs.openedgeplatform.intel.com/2026.2/OEP-articles/notes-on-usage.html#intended-use) :::: An AI-agent-native video analysis platform built on the **MCP (Model Context Protocol)**. It hands AI agents a universal, framework-agnostic toolkit for video surveillance and analysis, so they can autonomously create, manage, and respond to custom use cases — with no changes to core components. Concretely, an agent can remind you when the fridge is running low on groceries, alert a parent the instant a child climbs onto a window sill, or flag when an elderly family member hasn't gotten up on time — and you can add a brand-new use case just by describing it in chat. > **New here?** Bring the stack up in a few commands with the **[Get Started Guide](./get-started.md)**. ## Example Use Cases These demos are validated end-to-end. They are only a starting point — describe a new scenario in chat and trigger a new use case monitoring by following [Register a New Use Case](./how-to-guides/register-new-use-case.md). | Use Case | Description | Proactive Alerts | | -------- | ----------- | ---------------- | | Fridge Monitor | Refrigerator monitoring — regular reports (food shortage alerts, diet adjustment suggestions, lifestyle/fitness recommendations) + interactive chat with agents for personalized Q&A | No | | Child Safety | Child danger alert notification — real-time detection of risky behaviors (jumping from heights, playing with knives/fire, etc.), immediate alerts to parents, daily summaries, and follow-up conversations | Yes | | Elder Wakeup | Elder care (wake-up tracking) — monitor daily wake-up times, alert caregivers on significant deviations, weekly summary reports, and follow-up reminders | Yes | ## Supporting Resources - [Get Started Guide](./get-started.md) — Step-by-step instructions to set up the MCP server and run the bundled use cases. - [Ready-to-Run Demo](./get-started/ready-to-run-demo.md) — Optional reference demo using user-provided video inputs. - [System Requirements](./get-started/system-requirements.md) — Hardware and software requirements for running the sample application. - [How It Works](./how-it-works.md) — Overview of the platform architecture, data flow, and the role of AI agents in orchestrating video analysis pipelines. - [API Reference](./api-reference.md) — Comprehensive reference for the available API endpoints. - [Release Notes](./release-notes.md) — Information on the latest release, improvements, and bug fixes. ## License See [LICENSE](https://github.com/open-edge-platform/edge-ai-suites/blob/release-2026.2.0/metro-ai-suite/agentic-smart-community/LICENSE). :::{toctree} :hidden: Get Started <./get-started.md> How It Works <./how-it-works.md> How-To Guides <./how-to-guides.md> API Reference <./api-reference.md> Release Notes <./release-notes.md> :::