IBM released CUGA, an open-source agent harness that handles orchestration, state management, and tool integration, allowing developers to build agentic apps with just a tool list and a prompt. The co…
A new study finds that online web agents augmented with memory, workflow, or skill modules often fail to outperform a token-matched vanilla baseline under a fixed inference budget. Testing across thre…
Researchers propose MINIM, a trusted local broker that performs privacy-aware minimization on client-side UI observations before transmission to remote LLM inference servers. The system learns dual sc…
ARES (Adaptive Reasoning Effort Selection) is a framework that reduces the cost of multi-step LLM agent tasks by using a lightweight router to predict the minimum reasoning effort needed for each step…