Recall Precision
The system retrieves exactly the right context at the right time — no noise, no gaps.
Recall Precision is the quality of retrieval, not storage. A system can have perfect Memory Fidelity — everything stored is accurate — but still fail at Recall Precision if it retrieves the wrong information when asked. High Recall Precision means the system surfaces exactly what's relevant to the current task: not too much (which adds noise), not too little (which creates gaps). This requires understanding the task at hand and matching it to the right stored context, not just keyword searching.
More in Memory & State
Context Anxiety
The dread of re-explaining everything every session because the system has no persistent memory.
Ghost Knowledge
Facts that exist in the system but can't be traced to an author or source.
Context Rot
Deterioration of an agent's understanding over time due to limited memory and compaction.
State Loss
Failure to maintain awareness of prior actions.
Context Continuity
Seamless persistence of knowledge across sessions — the user never re-explains. The cure for Context Anxiety.
Memory Fidelity
The accuracy and completeness of what a system retains over time. The opposite of Context Rot.
Provenance Clarity
Every fact in the system is traceable to its author, source, and reasoning. The cure for Ghost Knowledge.
State Awareness
The system's ability to maintain and use awareness of prior actions within a session. The opposite of State Loss.