Pruning
4 articles about pruning.
Memory Filters - Why AI Agents Need Aggressive Pruning
·2 min read
Only keep facts that were retrieved and actually used in the last 30 days. Aggressive memory filtering prevents context bloat and improves agent performance.
agent-memorymemory-managementcontext-windowpruningai-agents
What Does Remember Mean for an Agent? Store Everything, Prune 80%
·2 min read
We stored everything for 3 weeks then pruned 80%. Agent responses got sharper. Memory is not about storing more - it is about keeping less of the right things.
agent-memorypruningcontextai-agentsoptimization
Compound Knowledge Across 100+ Sessions: 10% Signal, 90% Noise
·2 min read
After 100+ agent sessions, only 10% of stored memories are useful at retrieval time. The rest is noise. Aggressive pruning and relevance scoring are essential.
agent-memoryknowledge-managementsessionsretrievalpruning
Memory Systems Are Graveyards - Less Context, Better Reasoning
·2 min read
Most agent memory systems become graveyards of stale data. Aggressive memory pruning leads to better reasoning because the model focuses on what actually matters.
agent-memorypruningcontext-windowreasoningai-agents
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