Unverified50% confidenceFactExact time
The Retain step uses a large model to extract facts, relationships, and timestamps from conversations or task experiences, organizing them into retrievable memories while preserving the original text.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/29/2026
First Seen
Valid until: 12/28/2026
Sources
Related Entities
Related Claims
UnverifiedThe Recall step uses semantic retrieval, keyword retrieval, relational graphs, and temporal retrieval in parallel, then merges and ranks the results to return relevant memories within a budget.75% similarUnverifiedEngineering strategies for dealing with context forgetting include compressing conversation history via summarization, using external memory storage (such as vector databases Pinecone and Weaviate), and clearing already-read messages.70% similarUnverifiedThe context management layer handles information compression, history trimming, and memory retrieval during long tasks to avoid exceeding the model's context window70% similarUnverifiedIn long conversation or long document scenarios, active context compression, summarization, or segmented retrieval should be employed to reduce the model's burden.70% similarUnverifiedThe three commonly used engineering paths for storing memory are: unified extraction after a session ends, immediate write-in triggered by an event, and background organization during idle periods.70% similar
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