Beav

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What is Beav?

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Overview of Beav

What it is

Beav is an AI-powered workspace for social media creators, designed to streamline the entire content workflow from research and topic selection to writing, image creation, and video editing. It operates with local-first storage, supports long-term account memory, and runs on macOS, Windows, and Linux. The project is open source and available on GitHub.

Key features

  • Automated public social media research: analyzes platforms for relevant content based on account positioning and goals.
  • Cross-platform blogger subscription: automatically refreshes content from subscribed creator pages daily.
  • AI-assisted video editing: imports and analyzes talking-head videos, removes filler speech, and provides subtitle editing, picture-in-picture, overlays, and a multi-track timeline.
  • Image creation and reusable templates: manages reference images and templates with editable text variables; can decompose uploaded images into templates for reuse.
  • Daily operation newsletter: combines news, trending topics, and curated content relevant to the account, with marking and source preview.
  • A built-in skills marketplace: offers specialized AI skills for research, writing, image production, and video editing, installable with one click.

Use cases

Managing a single social media account long-term: store positioning, references, daily newsletters, and drafts in one space. Producing a talking-head video: analyze raw footage, trim redundant parts, edit subtitles, add overlays and effects, then export. Reusing visual styles: create templates from reference images and apply them to different topics with new text and assets. Reducing context-switching: browse knowledge and materials alongside the active task, directly drag them into the conversation, and preserve results for future use.

Getting started

See the repository README for installation and quick-start instructions.

License and pricing

The license is not stated in the available metadata or README. The project is listed as open source.

Based on the project's public README and repository metadata.

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