Product
Memory API
Service-layer APIs for integrating long-term memory behavior into production AI systems.
Coming SoonRuntime Memory Services
Overview
This page now includes architecture, use cases, and benchmark-oriented content specific to this product track.
Next steps
Interested in this track? Explore adjacent lab work or contact us for collaboration and pilot opportunities.
Architecture
- Ingestion connectors for conversations, docs, and execution systems
- Memory index layer for contextual retrieval
- Reasoning layer for explanation and trace generation
- Governance layer for retention and access control
Use cases
- Institutional context retrieval
- Decision trace reconstruction
- Onboarding with historical rationale
- Memory API integration pilots
Benchmarks and targets
Benchmarks below represent maturity progression from baseline workflows to target memory-native behavior.
Retrieval relevance
Baseline: Keyword only
Current: Hybrid retrieval
Target: Hybrid + graph context
Context latency
Baseline: Manual search
Current: Single-hop retrieval
Target: Low-latency contextual recall
Explanation quality
Baseline: Link list
Current: Structured summary
Target: Causal trace with citations