Multi-Modal Runtime & Media Processing Architecture #40

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opened 2026-05-19 01:00:38 +02:00 by FTMahringer · 0 comments

FTMahringer commented

2026-05-19 01:00:38 +02:00

(Migrated from github.com)

Problem / Motivation

The ongoing roadmap mentions future multi-modal support (vision, audio, video), but the current architecture is still primarily text-oriented.

Future Synapse agents, plugins and workflows may require:

Image understanding
Audio transcription
Voice interaction
Video processing
OCR/document understanding
Media pipelines
Real-time streams

This likely needs architectural planning early before APIs become difficult to extend.

Proposed Solution

Design a generalized multi-modal runtime architecture.

Possible future abstractions:

MediaProvider
VisionProvider
AudioProvider
TranscriptionProvider
EmbeddingProvider
DocumentProvider

Potential media pipeline:

Input
 → Media Detection
 → Processing Pipeline
 → Model Routing
 → Structured Result
 → Agent Workflow

Potential future features:

Voice agents
Screen understanding
PDF/document analysis
OCR pipelines
Audio summaries
Real-time voice chat
Multi-modal memory storage
Media preprocessing plugins

Additional Ideas

Unified attachment model
Media caching/transcoding layer
GPU-aware processing queue
Stream processing runtime
Multi-modal plugin capabilities
Vision-enabled tools

Priority

Medium

This becomes increasingly important once Synapse moves beyond text-only workflows and toward full AI orchestration.

## Problem / Motivation The ongoing roadmap mentions future multi-modal support (vision, audio, video), but the current architecture is still primarily text-oriented. Future Synapse agents, plugins and workflows may require: - Image understanding - Audio transcription - Voice interaction - Video processing - OCR/document understanding - Media pipelines - Real-time streams This likely needs architectural planning early before APIs become difficult to extend. --- ## Proposed Solution Design a generalized multi-modal runtime architecture. Possible future abstractions: ```java MediaProvider VisionProvider AudioProvider TranscriptionProvider EmbeddingProvider DocumentProvider ``` Potential media pipeline: ```text Input → Media Detection → Processing Pipeline → Model Routing → Structured Result → Agent Workflow ``` Potential future features: - Voice agents - Screen understanding - PDF/document analysis - OCR pipelines - Audio summaries - Real-time voice chat - Multi-modal memory storage - Media preprocessing plugins --- ## Additional Ideas - Unified attachment model - Media caching/transcoding layer - GPU-aware processing queue - Stream processing runtime - Multi-modal plugin capabilities - Vision-enabled tools --- ## Priority Medium This becomes increasingly important once Synapse moves beyond text-only workflows and toward full AI orchestration.