RSIHub offers shared infrastructure for agent-evolution methods
Original title: RSIHub: A Composable Framework for Agent-Evolution Methods
The largest reported overall pass@1 gain is 13.5 points, but rankings and transfer vary by setting.
RSIHub is an open-source framework for composing, comparing and extending agent-evolution methods on shared execution, evaluation, recovery and lineage infrastructure. Recipes declare mutable resources while evaluation stays outside that surface. The authors instantiate AHE, Hyperagents, A-Evolve and GEPA without changing the core, then test them with MiniSWE and Codex on Terminal Bench 2 and τ^3 Banking. Method rankings differ across settings, and optimization gains do not always transfer to held-out tasks.
- Method-specific logic stays in recipes and operators.
- Tests use fixed model and evaluator configurations.
- The framework records inspectable candidate histories.
From the original article
1 min read at huggingface.co
Agent-evolution methods use execution feedback to improve prompts, skills, tools, and orchestration, but their implementations often rebuild the same experimental machinery. We present RSIHub, an open-source framework for building, comparing, and extending these methods on shared infrastructure.
By Zimu Wang, Xiaobo Wang, Siyu Ye · huggingface.co
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