Continual Harness: A Self-Improving Architecture for AI Agents
chijinML · x · 2026-08-01
Researchers have introduced Continual Harness, a novel self-improving orchestrator architecture for AI agents. The framework can automatically rewrite and optimize its own policies, memory, skills, and sub-agents based on trajectory evidence.
The project is a collaborative effort by researchers including Ruirong Feng, Seth Karten, Wenzhe Li (a Ph.D. student at Princeton), and Chengshuai Shi. Both the paper and the open-source code have been made available.
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