
TACO Framework Cuts Agent Token Overhead 10% via Self-Evolving Compression
Researchers introduced TACO, a framework that enables terminal agents to automatically discover and refine context compression rules from their own interaction trajectories. This approach cuts token overhead by approximately 10% on benchmarks like TerminalBench and SWE-Bench Lite while preserving task accuracy.




























