LLM Digest

Story

arxiv_cs_lg · Aug 30, 2026 · paper

Source brief

Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security

arxiv.orgAug 30, 2026
original source linked

In brief

Autonomous large language model (LLM) agents increasingly face reliability, context consumption, and execution stability bottlenecks when deployed on complex, long-horizon tasks. While monolithic prompt engineering an...

Feed lens

agenticevaluation

Read the original at arxiv.org →Open in live feed Read that day’s brief

Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security

Earlier in this thread 4 items

Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems

Show HN: MAVS-GC – An Open-Source Governance Architecture for AI Systems

Intern-S2-Preview: Scientific Agentic Foundation Model

AVA-Encoder: Towards Agent-Native Video Representation Learning