Your agents remember everything — so your team doesn't have to

Agent Memory captures key information from every interaction — conversation context, user preferences, decisions made, task outcomes, and patterns. It stores structured data, not raw transcripts, so your agents recall what matters without noise.

You control memory scope. Each agent has its own memory by default, but you can configure shared memory across agents working on the same project or team. This lets specialized agents collaborate with full context.

No. Memory extraction works automatically out of the box. Agents intelligently identify and store relevant information from every interaction. You can also define custom fields to capture specific data points if needed.

Agents with memory avoid repeated questions, recall past decisions, and adapt to user preferences. Over time they learn patterns — like which responses work best, what data a user typically needs, and how to handle recurring situations — resulting in faster, more accurate outputs.

Yes. All memory data is encrypted at rest and in transit, stored in isolated environments per workspace, and never used for model training. You can view, edit, or delete any stored memory at any time.

No. Memory recall is near-instant. Agents use optimized retrieval to pull only relevant context for each interaction, so there is no noticeable latency. In fact, memory often speeds things up by eliminating back-and-forth clarification.