Test-Time Memory Framework
Eliminate hallucinations in foundation models through real-time contextual memory integration.
Built for developers requiring absolute reliability.
# Install via pip
pip install memories-dev
Memory Verification Framework
Stage 1: Input Validation
Prevents corrupted or invalid data from entering the memory system using advanced validation rules and structured verification protocols.
Stage 2: Truth Verification
Cross-validates information using multiple sources to establish reliable ground truth. Implements consistency checks and verification algorithms for data quality.
Stage 3: Response Validation
Real-time verification of outputs against verified truth database. Applies confidence scoring to ensure response accuracy and validity.
Advanced AI Applications
Our satellite-verified memory system powers a wide range of cutting-edge AI applications where factual grounding and reliability are mission-critical.
Space-Based Applications
Upstream Ground Systems
Enhance pre-launch verification with AI that can validate mission parameters against physical constraints, preventing costly errors before they reach orbit.
In-Orbit Decision Making
Enable autonomous spacecraft to make reliable decisions during communication blackouts by maintaining factual context about their environment and mission parameters.
Downstream Data Processing
Process satellite telemetry and science data with context-aware AI that can detect anomalies, classify observations, and prioritize findings without hallucinations.
Robotics & Physical AI
Planetary Rovers
Ground exploration robots maintain accurate terrain understanding and mission objectives even with delayed or limited communication with Earth control systems.
Autonomous Orbital Assembly
Enable robotic construction of space structures with AI that maintains accurate spatial awareness and construction plans verified against physical constraints.
Automated Docking Systems
Secure critical spacecraft rendezvous operations with AI that verifies approach trajectories and maintains accurate relative positioning without hallucination.
Advanced Earth Applications
Autonomous Vehicles
Combine satellite positioning with local sensor data to verify AI navigation decisions, ensuring safe operation even in changing environments or unusual traffic scenarios.
Physical Industrial AI
Factory automation and industrial IoT systems that verify AI recommendations against physical production constraints, preventing expensive or dangerous errors.
Disaster Response Systems
Combine satellite imagery with ground sensor data to provide reliable AI-assisted decision support for emergency services during natural disasters.
Contextual Memory Architecture
Our framework integrates real-time environmental context into foundation models during inference time, providing verifiable outputs for mission-critical applications.
Developer-Centric Reliability
Our memory framework provides a simple API that lets your AI systems cross-check responses against environmental facts and context, reducing hallucinations while maintaining the flexibility developers need.
Test-Time Memory Framework
1. AI model generates initial response
2. Memory framework retrieves contextual data
3. Response is verified against contextual information
4. Verified response delivered to application
# Simple integration with any foundation model
Applications Beyond Space
The same technology designed for space missions provides critical reliability for developers deploying foundation models in any mission-critical application.
Healthcare
In medical diagnostics and treatment planning, our memory framework ensures AI systems provide accurate recommendations by verifying outputs against real-time patient data and established medical protocols.
Particularly valuable for remote medicine, emergency response, and critical care environments where accuracy can be life-saving.
Transportation & Logistics
For autonomous vehicles, air traffic control, and logistics management, our framework helps reduce decision errors by incorporating real-time environmental data into AI decision processes.
Enhances safety and efficiency in complex transportation networks where environmental conditions constantly change.
Financial Services
For algorithmic trading, fraud detection, and risk assessment, our technology helps prevent costly errors by verifying AI decisions against current market conditions and regulatory requirements.
Particularly valuable in high-frequency trading environments and critical regulatory compliance applications.
Earth Observation Benefits
The space-based context verification techniques provide unique advantages for any mission-critical AI deployment:
For ML Engineers
- Simple API integration with any LLM
- Minimal latency overhead (< 100ms typical)
- Production-ready with comprehensive logging
For System Architects
- Horizontal scaling for high-throughput needs
- Distributed verification architecture
- On-premise or cloud deployment options
For Safety Teams
- Comprehensive audit trails
- Real-time monitoring dashboards
- Configurable verification thresholds
Technical Principles
Context
Environmental Awareness
Integration of real-time situational data into inference processes
Verification
Multi-source Validation
Cross-checking outputs against multiple reliable data sources
Latency
Minimal Processing Overhead
Optimized for fast response times in time-sensitive applications
Reliability
Fault-Tolerant Design
Resilient architecture for operation in challenging environments
Open Source Community
We believe that reliable AI requires collaboration across disciplines. Join our growing community of researchers, engineers, and domain experts building the future of trustworthy AI.
Contribute to the Project
Our open source approach allows anyone to contribute to improving AI reliability in critical applications. We welcome contributions in:
Core Framework
Enhance the central memory architecture and verification systems
Integration Connectors
Build connectors for different data sources and AI frameworks
Documentation
Improve guides, examples, and API references
Use Cases
Share implementations in various domains and applications
Commercial Support
While our core framework is open source and free to use, we offer additional services for enterprise and mission-critical deployments:
- Expert implementation support for mission-critical systems
- Custom integration with proprietary data sources
- Extended validation and verification protocols
- Training and certification for technical teams
- Service level agreements (SLAs) for production deployments