UCLA and Apple Release OpenVLHarness for Visual Agents

UCLA and Apple have introduced OpenVLHarness, a training-free framework that lets multimodal models combine perception, search, and code computation with multimodal memory. Controlled studies across 22 benchmarks demonstrate its effectiveness for real-world visual agentic tool use.

2026-10-20 ~ 2026-10-20 · 2 related posts

• UCLA and Apple's OpenVLHarness adds multimodal memory to visual agentic tool-use — Yu Zhou · 2026-10-20
• OpenVLHarness: training-free harness adds web search and Python tools to multimodal models — _akhaliq · 2026-10-20