githubinferredactive
drone-agent
provenance:github:VladKha/drone-agent
WHAT THIS AGENT DOES
Here's a plain English summary of the drone-agent: This agent allows you to give a drone simple instructions in everyday language, and it will autonomously complete the task. It solves the problem of needing a skilled pilot for every drone mission, enabling drones to perform tasks without constant human control. Businesses like security companies, inspectors, or even farmers could use this to automate routine drone operations like surveying land or monitoring equipment.
README
# DroneAgent DroneAgent - drone autonomy powered by Generative AI <div align="center"> <img src="drone_agent.jpg" alt="Description" width="500" height="500"> </div> ## Features - Flying drone fully controlled via Gemini LLM-powered AI agent built using smolagents library (0 human control) - As input agent receives a text description of the mission and then tries to execute it - Agent can do basic actions (take off, land, basic movement around) as well as more complex tasks (navigating in the environment, finding things in the surrounding environment - see demo below) - Agent receives photos from the drone camera at each step of the mission - Basic agent observability (via `LangFuse`) and terminal logs ## YouTube Demo **Drone mission:** `Find something I can eat and get closer to it` After exploring the room around, the drone lands in front of a table with a basket of fruits. Full video with DroneAgent "thinking" process. [](https://www.youtube.com/watch?v=YPV-6XslETc) ## Prerequisites 1. [DJI Tello drone](https://store.dji.com/product/tello/) 2. Cable internet connection (since WiFi will be used by the drone) 3. [Google Gemini Developer account](https://ai.google.dev/) 4. [uv](https://docs.astral.sh/uv/) python package and project manager ## Installation 1. Clone the repository: ```bash git clone https://github.com/VladKha/drone-agent.git cd drone-agent ``` 2. Install [uv](https://docs.astral.sh/uv/getting-started/installation/) 3. Set up the Python venv (using Python 3.12): ```bash make create_venv ``` 4. Install the required packages: ```bash make install_requirements ``` ## Environment Variables Create a `.env` file in the root directory from `.env.example` file and add all required environment variables: - `GOOGLE_API_KEY` from [AI Studio](https://ai.google.dev/gemini-api/docs/api-key) - `LANGFUSE_SECRET_KEY`, `LANGFUSE_PUBLIC_KEY`, `LANGFUSE_HOST` from [LangFuse](https://langfuse.com/docs/get-started) ## How to Run 1. Turn on and connect to your DJI Tello drone via WiFi 2. Connect to the internet via cable 3. Run the agent: `make run_app` ## Technologies Used - **Python 3.12** - **[smolagents](https://github.com/huggingface/smolagents)**: agent framework - **[Google Gemini](https://ai.google.dev)**: LLM for agents "brains" - **[DJITelloPy](https://github.com/damiafuentes/DJITelloPy)**: DJI Tello drone python interface - **[LangFuse](https://github.com/langfuse/langfuse)**: LLM observability - **[dotenv](https://github.com/theskumar/python-dotenv)**: managing environment variables - **[tenacity](https://github.com/jd/tenacity)**: retrying failed requests
PUBLIC HISTORY
First discoveredMar 22, 2026
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first seenJun 9, 2025
last updatedOct 26, 2025
last crawled1 day ago
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