How does the style analysis feature work?

It uses the Fabric 'analyze_personality' pattern to process your previous messages (minimum 100 recommended) and creates a JSON style guide used for reply generation.

What are the prerequisites for using the Beeper AI skill?

You need Beeper Desktop running locally, a Beeper access token from your developer settings, and a Fabric server running via 'fabric --serve'.

Can I search across all my messaging accounts at once?

Yes, as long as the accounts (bridges) are connected to your Beeper Desktop app, the beeper-ai:search command will scan across them.

Is my messaging data sent to third-party AI providers?

While the Beeper API is local, the Fabric integration typically sends message content to configured AI models (like Claude) to perform summarization and analysis tasks.

Beeper AI Integration

Name: Beeper AI Integration
Author: adnanmueller

byadnanmueller

•

Herramientas de Colaboración

Streamlines cross-platform communication by adding AI-powered search, summarization, and personalized reply generation to Beeper Desktop.

Acerca de

The Beeper AI skill integrates the Beeper Desktop local API with the Fabric AI framework to transform how users manage their unified inbox. It enables intelligent cross-platform message searching, automated conversation summarization, and personalized reply generation based on an analyzed communication style guide. By leveraging Fabric patterns and local API access, this skill allows users to interact with their messages from multiple platforms—like WhatsApp, Slack, and iMessage—directly through AI-driven workflows that prioritize efficiency and consistent tone.

Características Principales

Communication style analysis and personality profiling
1 GitHub stars
Status monitoring for local Beeper and Fabric services
Cross-platform message searching via Beeper Desktop API
Automated conversation summarization using Fabric patterns
Personalized style-matched reply generation

Casos de Uso

Catching up on long chat threads with instant AI-generated summaries
Searching for specific information across multiple messaging apps simultaneously
Drafting replies that automatically match your unique writing style

Acerca de

Características Principales

Communication style analysis and personality profiling
1 GitHub stars
Status monitoring for local Beeper and Fabric services
Cross-platform message searching via Beeper Desktop API
Automated conversation summarization using Fabric patterns
Personalized style-matched reply generation

Casos de Uso

Catching up on long chat threads with instant AI-generated summaries
Searching for specific information across multiple messaging apps simultaneously
Drafting replies that automatically match your unique writing style