Remember
Define what the agent stores: user preferences, support history, research notes, tool traces, or domain knowledge.
Memory architecture
Plan persistent AI memory before agents go live
Use this checklist to decide what should become durable memory, what should remain session-scoped, and how recall should be evaluated before production.
Recall
Pick retrieval behavior for semantic search, graph completion, session-first memory, temporal lookups, or scoped node sets.
Improve
Capture feedback signals and promotion rules so successful memories become easier to reuse without bloating prompts.
Strong relevance
Keyword intent handled here
These terms are used for page intent because they match the product theme and landing task. They remain keyword candidates until same-request MiroFish Trends evidence is collected.
AI memory
Evaluate persistent memory architecture before an agent goes live.
Theme relevance: Directly matches the Cognee Space core product theme: planning durable AI memory.
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persistent AI memory for agents
Design long-term memory that survives sessions and supports future agent behavior.
Theme relevance: Direct long-tail expression of the core AI memory promise.
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Cognee recall remember forget improve
Understand the memory lifecycle before using Cognee in production.
Theme relevance: Directly maps to Cognee memory lifecycle planning.
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