Ingestion
Raw data can come from user input, bootstrapped records, prior sessions, or structured sources.
Memory Architecture
AI Agent Memory Architecture for Production Teams
Useful memory systems are not just storage systems. They decide what should be remembered, how memories should evolve, and how retrieved facts should influence inference without overwhelming the model.
- Cover extraction, consolidation, storage, and retrieval
- Compare vector databases and knowledge graphs
- Explain why provenance and trust matter
Signal Layer Harness Engineer Index
Core stages 4
Main storage patterns 2+
Hardest step Consolidation
The four stages of memory generation
Extraction and filtering
A memory manager should capture only what aligns with the app's definition of durable value.
Consolidation
This stage resolves duplication, contradiction, and evolution so memory remains coherent over time.
Storage architecture choices
Vector databases
Good for semantic similarity and natural-language memory retrieval.
Knowledge graphs
Good for structured entities, relationships, and graph-style reasoning.
Hybrid systems
Many teams combine semantic retrieval, structured metadata, and caching to balance cost and precision.
Why provenance matters
It helps weight trust
Explicit user input and stale tool output should not be treated as equally reliable.
It improves consolidation
Source type, timestamp, and confidence help determine whether a memory should be updated, merged, or invalidated.
It supports audits
Production systems benefit from knowing where a memory came from and how it changed.
Frequently Asked Questions
These questions cover high-frequency search intent around Harness Engineer, context engineering, sessions, and memory.
Is a memory manager the same as RAG?
No. RAG focuses on retrieving external knowledge, while memory management focuses on dynamic, evolving, user- or task-specific information.
Where should retrieved memories be placed?
That depends on framework constraints and desired authority. Memories can go into system instructions or conversation history, each with tradeoffs.
Next Step
Need a practical memory architecture?
We can help define memory schemas, provenance rules, retrieval placement, and consolidation behavior.