Freedom report

Two barsScore 6.2

  • Free tierA free tier is on its own pricing page
  • Runs widely0 of 6 device platforms
  • DocumentedPlans, terms and facts published

OpenMagpie is an open-source social listening tool for finding online conversations that match a user's description. Users describe relevant discussions in natural language, and a language model scores new posts against that description. The site lists Reddit, Hacker News, and RSS or Atom feeds as sources available today; plan details also list X/Twitter and YouTube, with historical data described as limited. Matches go to a webhook or logs, and polls, model judgements, and deliveries are recorded for inspection. OpenMagpie is self-hosted, so users provide their own hardware and language model. 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 command-line tool; a web UI is described as on the way. It is free to run under the Apache 2.0 license. Anonymous usage telemetry is opt-in, off by default, and does not send user content. Slack and LinkedIn are described as roadmap sources on the site, while Facebook, TikTok, and Instagram are listed as planned additions in the repository. A hosted version is in development, with an early-access waitlist.

Who it is for

OpenMagpie suits people who want to monitor specified conversations across its listed sources and can self-host the tool. Users need to provide hardware and an OpenAI-compatible language model endpoint.

What is good

  • Natural-language descriptions guide relevance scoring.
  • Matches can be delivered to webhooks or logs.
  • Supports several OpenAI-compatible model endpoints.
  • Telemetry is off by default and excludes user content.
  • Free to run under the Apache 2.0 license.

What to know first

  • The current interface is command-line only.
  • Users provide their own hardware and model.
  • Historical data is limited.
  • A hosted version is still in development.

Freedom251 review

OpenMagpie: the full review

OpenMagpie offers self-hosted conversation matching with inspection records and configurable model endpoints. Its current CLI setup requires Docker and uv, while a web UI and hosted version are still in development.

OpenMagpie is an open-source social-listening service that uses a language model to identify conversations matching a description you write. It is best for technically capable users who want to run the system themselves, connect results to existing workflows, and inspect how decisions were made. The trade-off is operational: you supply the machine and model, and the current command-line setup is less approachable than a hosted dashboard.

Overview

OpenMagpie watches conversation sources and scores new posts against relevance criteria written in natural language. That approach is more expressive than maintaining lists of keywords, making it useful when a topic has many ways of being discussed. The quality of matches still depends on how clearly you define the intent and on the language model you connect.

It is open source under the Apache 2.0 license, so organizations can run and adapt it without a proprietary platform contract. Self-hosting also keeps infrastructure and model selection in your hands, but those responsibilities remain yours.

Key features

Current ingestion includes Reddit, Hacker News, and RSS or Atom feeds. The published source coverage also includes X/Twitter and YouTube, while historical data is limited, so OpenMagpie is oriented toward catching active discussions rather than building a deep archive.

When a post matches, the service can send it to a webhook or write it to logs. That makes it a practical component in an automation pipeline, alerting system, or internal triage process, but it is not a ready-made social dashboard for browsing and reporting.

OpenMagpie records polling activity, model judgements, and deliveries. Those records give operators a way to review what was checked, why a post was considered relevant, and whether the result was dispatched. Anonymous usage telemetry is opt-in, disabled by default, and excludes user content.

The model layer accepts OpenAI-compatible endpoints. Ollama, vLLM, llama.cpp, LM Studio, and OpenAI are named examples, allowing a choice between local inference, a self-managed server, or a commercial API.

Pricing

The Self-hosted plan is free. Running the software itself is free, but you provide the hardware and pay for or operate the language model, so total cost depends on your infrastructure and inference choice. This plan suits developers, research teams, and organizations that can manage deployment and ongoing model usage; it is a poor fit if you want a vendor to host the service and absorb those operational tasks.

There is no published hosted tier to compare. A hosted version is in development, with early access offered through a waitlist, so buyers needing a managed service must wait rather than subscribe today.

Platforms

OpenMagpie is self-hosted. The quickstart requires Docker and uv, and the current control surface is a CLI. A web interface is planned, but users choosing it now should be comfortable with terminal-based configuration and their own deployment environment.

Who it's for

Choose OpenMagpie if you need customizable, model-driven listening and want inspection records for operational or compliance review. It is especially suitable for teams already running webhooks, log processing, or local LLM infrastructure.

Look elsewhere if you need a polished browser workspace, extensive historical search, or a managed subscription with predictable infrastructure costs. Limited historical data and the setup burden make it less suitable for casual monitoring or nontechnical users.

Pros and cons

  • Pros: Natural-language relevance rules can capture nuanced conversation intent beyond fixed keywords.
  • Pros: OpenAI-compatible endpoints support local and self-managed models as well as OpenAI.
  • Pros: Recorded polls, judgements, and deliveries make alerts auditable.
  • Pros: Apache 2.0 licensing and self-hosting provide control over deployment and customization.
  • Cons: You must supply hardware and model capacity, so free software does not mean zero operating cost.
  • Cons: Docker, uv, and a CLI-first workflow add friction before a team can monitor conversations.
  • Cons: Historical data is limited, reducing its value for long-term trend analysis.
  • Cons: The hosted edition and web UI are not yet available for immediate use.

Alternatives

For a broader buying survey, see AI Social Listening Tools.

dig is the better choice when you want API and web access with a freemium service: its free tier provides 10 credits per month, while the 25.00 USD per month Pro plan adds 50 credits, influencer vetting, crisis detection, and trend discovery.

KWatch.io fits readers seeking hosted keyword alerts for Reddit and Hacker News, with a free tier covering two alerts on each network.

Social Searcher suits web users who prefer immediate searches without registration; its free tier allows 100 real-time searches daily, one monitoring setup, and 500 saved posts monthly.

Harken is another free, open-source self-hosted option, with MIT licensing and no per-seat pricing.

Zignal Labs, Awshar AI, Onclusive Social, and Pulsar are paid alternatives for organizations evaluating commercial social-listening services.

Verdict

OpenMagpie is a strong fit for technical teams that want free, self-hosted conversation matching, flexible model choice, and an auditable record of every decision and delivery. Its main reason to choose it is control; its main reason to look elsewhere is the current CLI-and-infrastructure burden, especially if you need a hosted web experience or substantial historical analysis now.

Get started with OpenMagpie

  1. Install Docker and uv for the quickstart.
  2. Provide hardware to run the self-hosted software.
  3. Choose an OpenAI-compatible endpoint, such as Ollama, vLLM, llama.cpp, LM Studio, or OpenAI.
  4. Describe relevance in natural language and configure the available sources.
  5. Choose webhook or logs for match delivery.

What the free plan stops at

The free self-hosted plan requires you to provide hardware and a model. Historical data is limited.

Questions about OpenMagpie

How much does OpenMagpie cost?

The Self-hosted plan is free. You provide the hardware and model.

Is OpenMagpie open source?

Yes. It is licensed under Apache 2.0.

Which sources are available?

The site lists Reddit, Hacker News, and RSS or Atom feeds as available today. Plan details also list X/Twitter and YouTube; historical data is limited.

Which platforms and interface does it support?

It is self-hosted and currently uses a CLI. The quickstart requires Docker and uv; a web UI is described as on the way.

Which language models can it use?

It supports OpenAI-compatible endpoints, with Ollama, vLLM, llama.cpp, LM Studio, and OpenAI given as examples.

Is there a hosted version?

A hosted version is in development, and the site invites visitors to join its early-access waitlist.

OpenMagpie plans and pricing

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

Compared on AI social listening tools

Free plan
Yes
Source coverage
X/Twitter, YouTube, Reddit, Hacker News, RSS/Atom feeds
Historical data
limited

Best OpenMagpie alternatives

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