Real-time memory shifts the ergonomics of building AI workflows
Titans acts as the runtime engine that makes massive memory stores practically usable. Instead of relying on slow retrieval or lossy summarization, Titans accesses context as if it were native model memory.
Why builders will care
- Agent systems can run longer reasoning chains while staying grounded.
- This reduces hallucinations in multi-tool orchestration.
- Developers get memory behavior similar to large context windows but at lower compute cost.
Strategic implication
Platforms that pair memory and orchestration seamlessly will lead the next phase of enterprise AI automation. Titans positions Google to challenge competing agent stacks directly.