A multi-agent system that operates a desktop and reads every media type, built on a trained context model that keeps the working set small as the addressable set grows.
/media/projects/featherring/hero.webp The agent surface coordinating media tools.
Fast Fourier Decomposition
Separated 4 audio stems: Melody (Oud), Percussion, Bass synth, Ambient drone.
Pattern & Scale Inference
Detected Bayati Maqam scale @ 108 BPM with 98.6% harmonic alignment.
Context-Guided Generation
Generated counter-melody with microtonal embellishments.
Dynamic Spatial Mix
Multi-channel spatial audio render with room impulse simulation.
Placeholder write-up. Replace this body with the real account.
An agent that can only read text is blind to most of what a computer actually holds. One that can read everything runs out of context immediately.
Treat context as a managed resource rather than a buffer: extract entities agentically, summarise selectively, and retrieve from memory on demand, so the working set stays small while the addressable set does not.
To be written.
Gallery
/media/projects/featherring/01.webp /media/projects/featherring/02.webp