The Modular, Self-Hosted Agentic Operating System

Thalamus - Input Preprocessing Hub

The Thalamus is SanctumOS's input preprocessing hub, responsible for handling raw inputs and preparing them for further processing by other cognitive components.

Overview

The Thalamus acts as the first stage of information processing in the SanctumOS cognitive architecture. It receives raw inputs from various sources and processes them through multiple phases to create structured, meaningful representations.

Core Functionality

Phase 0: Immediate Pass-Through

  • Purpose: Provides raw sensory stream to Cerebellum
  • Latency: Minimal processing delay
  • Use Case: Reflexive responses and immediate filtering

Phase 1: Cleanup and Re-segmentation

  • Purpose: Basic input cleaning and restructuring
  • Processes:
  • Autocorrect and typo correction
  • Punctuation normalization
  • Text re-segmentation for better parsing
  • Basic formatting cleanup

Phase 2: Semantic Annotation

  • Purpose: Add semantic meaning and context
  • Processes:
  • Topic tagging and classification
  • Light contextual linking
  • Semantic annotation
  • Relationship identification

Architecture

Thalamus Intent Diagram%20(2)_image_1.png)

Data Flow

Input Sources

  • Direct User Input: Text, voice, images
  • External APIs: Webhooks, RSS feeds, social media
  • File Uploads: Documents, images, audio files
  • System Events: Logs, metrics, alerts

Processing Pipeline

  1. Raw Input Reception: Receive and validate input
  2. Phase 0 Processing: Immediate pass-through to Cerebellum
  3. Phase 1 Processing: Cleanup and re-segmentation
  4. Phase 2 Processing: Semantic annotation and tagging
  5. Output Generation: Structured representations

Output Destinations

  • Cerebellum: For immediate filtering and prioritization
  • Conscious Mind: For complex reasoning tasks
  • Memory Systems: For storage and retrieval
  • Other Components: As needed for specific processing

Key Features

Low-Latency Processing

  • Immediate Response: Phase 0 provides instant feedback
  • Parallel Processing: Multiple phases run concurrently
  • Optimized Algorithms: Efficient processing for real-time performance

Semantic Understanding

  • Context Awareness: Maintains conversation context
  • Topic Classification: Automatic topic identification
  • Relationship Mapping: Identifies connections between concepts

Extensibility

  • Plugin Architecture: Easy to add new processing modules
  • Custom Annotators: Support for domain-specific processing
  • Configurable Pipelines: Adjustable processing workflows

Configuration

Environment Variables

THALAMUS_PHASE0_ENABLED=true
THALAMUS_PHASE1_ENABLED=true
THALAMUS_PHASE2_ENABLED=true
THALAMUS_PARALLEL_PROCESSING=true
THALAMUS_CACHE_SIZE=1000

THALAMUS_PHASE0_ENABLED=true THALAMUS_PHASE1_ENABLED=true THALAMUS_PHASE2_ENABLED=true THALAMUS_PARALLEL_PROCESSING=true THALAMUS_CACHE_SIZE=1000

Processing Options

  • Enable/Disable Phases: Configure which processing phases to run
  • Parallel Processing: Control concurrent processing behavior
  • Cache Settings: Configure memory usage and caching
  • Output Formats: Choose output representation formats

Integration Points

With Cerebellum

  • Provides immediate raw input for reflex processing
  • Supplies cleaned and annotated input for filtering

With Conscious Mind

  • Delivers structured input for complex reasoning
  • Maintains context for conversation flow

With Memory Systems

  • Stores processed input for future reference
  • Retrieves relevant context for current processing

Performance Characteristics

Latency

  • Phase 0: < 10ms
  • Phase 1: < 100ms
  • Phase 2: < 500ms

Throughput

  • Concurrent Inputs: Up to 1000 simultaneous
  • Processing Rate: 10,000+ inputs per minute
  • Memory Usage: Optimized for minimal footprint

Monitoring and Debugging

Metrics

  • Processing Latency: Track processing times per phase
  • Throughput: Monitor input processing rates
  • Error Rates: Track processing failures
  • Cache Hit Rates: Monitor cache effectiveness

Logging

  • Input Logging: Record all incoming inputs
  • Processing Logs: Track processing steps and decisions
  • Error Logs: Capture and report processing errors
  • Performance Logs: Monitor system performance

Future Enhancements

Planned Features

  • Multi-Modal Processing: Support for video and audio inputs
  • Advanced NLP: Integration with state-of-the-art language models
  • Real-Time Learning: Adaptive processing based on usage patterns
  • Enhanced Context: Deeper semantic understanding

Research Areas

  • Cognitive Modeling: Better alignment with human cognitive processes
  • Efficiency Optimization: Reduced latency and resource usage
  • Accuracy Improvement: Better semantic understanding and annotation

Related Components

Thalamus - The input preprocessing hub of SanctumOS, ensuring all information is properly structured and ready for cognitive processing.