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OpenMagpie

openmagpie.ai

Free plan Self-hosted
Visit openmagpie.ai
Spec score 7.3 #15 of 24 in Social Monitoring

What it is

OpenMagpie is a free, open-source social listening tool for finding relevant conversations while threads are active. Users describe relevance in natural language, and an LLM scores new posts against that description. The site lists Reddit, Hacker News, and RSS or Atom feeds as current sources; plan details also list X/Twitter and YouTube, with limited historical data. Matches can go to a webhook or logs, while polls, model judgements, and deliveries are recorded for inspection. OpenMagpie is self-hosted, so users provide hardware and an LLM. It supports OpenAI-compatible endpoints, including Ollama, vLLM, llama.cpp, LM Studio, and OpenAI. Setup requires Docker and uv, and the current interface is a CLI; a web UI is described as forthcoming. Anonymous telemetry is opt-in, off by default, and excludes user content. The project uses Apache 2.0, and a hosted version is in development.

Spec sheet

Purpose
OpenMagpie is an open-source social listening tool that finds relevant conversations so users can engage while threads are active.Read 4 Oct 2026 · openmagpie.ai
Privacy
The repository says anonymous usage telemetry is opt-in, off by default, and does not send user content.Read 4 Oct 2026 · github.com
License
OpenMagpie is open source under the Apache 2.0 license.Read 4 Oct 2026 · github.com
Auditing
The project says polls, model judgements, and deliveries are recorded for inspection.Read 4 Oct 2026 · github.com
Current sources
The site lists Reddit, Hacker News, and RSS or Atom feeds as sources available today.Read 4 Oct 2026 · openmagpie.ai
Delivery
Matches can be delivered to a webhook or logs.Read 4 Oct 2026 · openmagpie.ai
Hosted version
A hosted version is in development, and the site invites visitors to join its early-access waitlist.Read 4 Oct 2026 · openmagpie.ai
Hosting and model
Users can self-host OpenMagpie and bring their own LLM.Read 4 Oct 2026 · openmagpie.ai
LLM compatibility
The project supports OpenAI-compatible endpoints, with Ollama, vLLM, llama.cpp, LM Studio, and OpenAI given as examples.Read 4 Oct 2026 · github.com
Matching
Users describe relevance in natural language, and an LLM scores new posts for matches.Read 4 Oct 2026 · openmagpie.ai
Roadmap sources
Slack and LinkedIn are described as roadmap sources on the site, while the repository also lists Facebook, TikTok, and Instagram as planned additions.Read 4 Oct 2026 · github.com
Setup
The quickstart requires Docker and uv, and the current interface is a CLI; a web UI is described as on the way.Read 4 Oct 2026 · github.com

Plans and prices

Self-hosted Free Free to run · you provide hardware and model Read 4 Oct 2026 · openmagpie.ai

Every OpenMagpie plan and price →

Strong points and limits

Strong points

  • Natural-language relevance matching
  • Webhook or log delivery
  • Self-hosted with OpenAI-compatible endpoints
  • Recorded activity supports inspection
  • Apache 2.0 open-source license

Limits

  • Requires users to provide hardware and model
  • Current interface is command line
  • Historical data is limited
  • Web interface is not yet available

Who it suits

OpenMagpie suits teams that want self-hosted monitoring of specified conversations and can provide their own hardware and language model. It fits users comfortable with Docker, uv, and a command-line interface.

Verdict

OpenMagpie offers configurable, self-hosted conversation matching with inspectable processing records. Its command-line setup, infrastructure requirements, and limited history shape the implementation effort.

Where Specifiction places it

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