Jamailar

Beav

Jamailar

Beav is a local-first AI content studio covering research, topic selection, writing and rewriting, image generation and talking-head video editing, with a knowledge base and long-term account memory for macOS, Windows and Linux.

v2.9.3
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18h ago
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Synced at
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rust

Latest release

v2.9.3Oct 19, 2026, 04:28 AM
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README

Project Overview

Beav (formerly RedBox) is an open-source AI content studio that chains collection, topic selection, creation and operations into one workflow: save materials with a browser extension, find topics from daily briefings, write and rewrite with AI, generate images or edit talking-head videos in the media studio, and schedule tasks on the operations calendar.

It is local-first, keeping your asset library and long-term account memory on your device. Unlike general AI tools built for programmers, it is designed around the content assets and recurring operations of social media creators.

Item Value
Positioning AI content studio (formerly RedBox)
Platforms macOS, Windows, Linux
Stack Rust + Tauri + TypeScript
License MIT-NC (non-commercial)
Latest release v2.9.2

From research and topics to writing, images, video editing and ongoing operations, one AI workspace.

Key Features

  • Research and collection: save web pages, social content and comments with Chrome and Edge extensions, with AI retrieving public information
  • Topics and briefings: daily operation briefings combine trends, subscriptions and existing materials to find directions
  • Account planning: organize positioning, audience, content direction and update cadence
  • Writing and rewriting: produce articles, scripts and talking-head drafts from goals and references
  • Image creation: fill template variables and upload references in the media studio to generate and reuse visual assets
  • Smart talking-head editing: word-level transcription and pause analysis flag redundant parts, with editable subtitles, picture-in-picture and effects
  • Operations calendar: schedule tasks, check execution status and continue processing results
  • Assets and knowledge base: accumulate and reuse materials and content assets into long-term account memory

Target Audience

  • Content creators on Xiaohongshu and similar platforms
  • Operators who need long-term accumulation of scattered materials
  • Creators producing articles and talking-head videos at high frequency
  • Bloggers who want AI to speed up topics and writing
  • Studios planning update cadence across multiple accounts

Quick Start

  1. Download the installer for your platform from Releases or the official site
  2. Install and launch, data stays on your device by default
  3. Install the Chrome or Edge extension to start collecting web materials
  4. Start from topics on the home page or read the daily briefing
  5. Generate images or edit talking-head videos in the media studio and export

Core Advantages

  • Local-first: materials and workspace data stay on your device, long-term account memory is never lost
  • End-to-end coverage: collection, topics, writing, images, editing and the operations calendar in one place
  • Built for creators: designed around content assets and operations, not general office work
  • Cross-platform: full support for macOS, Windows and Linux

System Requirements

Item Requirement
OS macOS, Windows or Linux
Browser extension Chrome or Edge
Installation DMG, DEB or EXE installer

Notes

  • License restriction: MIT-NC is a non-commercial license, read the LICENSE terms before commercial use
  • Version progress: installers and public source code may update at different paces, rely on the actual installed version
  • RedBox migration: the project was renamed from RedBox, existing local data and workspaces are unaffected

Release history

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