SF Research Launches EvoHarnessBench for Evolving Agent Harnesses
Most agent benchmarks score a fixed toolset, so they miss the stability-versus-plasticity problem that surfaces in production, where harnesses keep growing and stored artifacts go stale. Teams building or selecting agent frameworks can run the benchmark via the live demo or plug in their own agent to see where their setup fails as capabilities expand. It suits engineering leads evaluating agent reliability over time rather than one-shot benchmark numbers.
