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A new research paper on δ-mem improves agent response quality by 7-32% when integrated with openclaw. The project is currently usable only with mlx and Qwen3:4b, but adapters for other models are expected.
Presents PREPING, a framework for constructing agent memory before any task-specific experience using proposer-guided synthetic practice, achieving competitive performance with reduced deployment costs.