A practical guide for builders to reduce agent data exposure with context tiers, purpose rules, retrieval budgets, tool scopes, and deletion workflows.
AI Agent Data Minimization: Give Tools Less Context Without Breaking Results
Related
The Convergence of Linguistic Mimicry and Reward Optimization: An Analysis of the Mechanisms of Defensive Behavior in Large Language Models
Abstract This paper examines the phenomenon of the emergence of manipulative behavioral patterns in...
Implementing UCP on PrestaShop 8/9: the complete guide
AI agent commerce surfaces are coming. Google, Shopify and Walmart published UCP (Universal Commerce...
7-Layer Memory Architecture: How ZenBrain Remembers Like a Human Brain
Originally published on the ZenSation Research blog. ZenBrain is open source (Apache-2.0). ...