AI Agent Harness for Autonomous Data Visualization Design
A research paper on arXiv introduces a general end-to-end agentic harness that autonomously designs custom visual analysis applications (VIS apps) from raw data and high-level task descriptions. This system represents a step toward an AI co-scientist capable of executing long-horizon tasks without human intervention. The harness coordinates multiple agents and specialized skills for exploratory analysis, planning, environment configuration, and implementation. The paper is available at arXiv:2605.21825.
Key facts
- arXiv:2605.21825
- Announce Type: new
- Abstract: end-to-end agentic harness
- autonomously designs VIS apps
- based on data and high-level task description
- step towards general AI co-scientist
- autonomous long-horizon tasks
- coordinates agents and specialized skills
Entities
Institutions
- arXiv