EngramLab: Training Agents with Native Memory and Self-Generated Data
realJessyLin · x · 2026-08-18
EngramLab published their first research blog on training agents with native memory. Key takeaways include:
- It's validated that models can generate their own training data and learn from it.
- Using memory saves tokens and improves answer quality.
- Models can perfectly simulate complex outputs like Bash queries without specific training.
- Future work focuses on solving memory calibration and scaling data generation with compute.
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