In simple English
OpenMagpie watches social media and news sites for mentions of your product or topic. You write what you are looking for in plain language. A local artificial intelligence model reads every new post and scores it for relevance. Matching posts go straight to your webhook or logs so you do not miss a customer conversation. It runs on your own server and is free to use.
What it is
Open-source, self-hostable social listening software built with Python and Django. It polls public discussions across platforms and runs them through any OpenAI-compatible language model endpoint.
What it is good for
Solo builders who want to find relevant discussions and complaints online without paying for expensive commercial monitoring software.
- Runs on your own server for total data privacy.
- Uses natural language to judge relevance rather than rigid keywords.
- Connects easily to local language model runners like Ollama.
- Requires Docker, uv, and some terminal experience to set up.
- X/Twitter and YouTube connectors need browser session cookies.
- Running a language model locally requires decent computer memory or a GPU.
Paid commercial social monitoring software like Brand24 or Mention
Ollama for running the local relevance-checking model
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curl -fsSL https://openmagpie.ai | sh