---
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id: "f7414e24ea6846ffd50194d476dd6aa914f3f3bb429d335694e7726e2a4d02fe"
canonical_url: "https://aidr.today/f7414e24?lang=en"
title: "RSIHub: A Composable Framework for Agent-Evolution Methods"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-26T00:00:00.000Z"
category: "Frameworks"
topics: ["agent","framework"]
source_urls: ["https://huggingface.co/papers/2610.32253"]
summary: "RSIHub is an open-source framework for building, comparing, and extending agent-evolution methods on shared infrastructure. Recipes compose reusable operators and declare mutable resources, while RSIHub supplies execution, evaluation, recovery, and lineage. The framework instantiates AHE, Hyperagents, A-Evolve, and GEPA without modifying the core, and evaluation is performed with MiniSWE and Codex on Terminal Bench 2 and τ^3 Banking under fixed model and evaluator configurations. The largest observed overall pass@1 gain is 13.5 percentage points, though method rankings vary across settings and optimization gains do not always transfer to held-out tasks."
---

# RSIHub: A Composable Framework for Agent\-Evolution Methods

> [Open the canonical story](<https://aidr.today/f7414e24?lang=en>)

**Published:** 2026-10-26T00:00:00.000Z
**Category:** Frameworks
**Topics:** agent, framework

## Summary

RSIHub is an open\-source framework for building, comparing, and extending agent\-evolution methods on shared infrastructure\. Recipes compose reusable operators and declare mutable resources, while RSIHub supplies execution, evaluation, recovery, and lineage\. The framework instantiates AHE, Hyperagents, A\-Evolve, and GEPA without modifying the core, and evaluation is performed with MiniSWE and Codex on Terminal Bench 2 and τ^3 Banking under fixed model and evaluator configurations\. The largest observed overall pass@1 gain is 13\.5 percentage points, though method rankings vary across settings and optimization gains do not always transfer to held\-out tasks\.

## Sources

- [Story source](<https://huggingface.co/papers/2610.32253>)