# ReusStdFlow: A Standardized Reusability Framework for Dynamic Workflow Construction in Agentic AI

arXiv: https://arxiv.org/abs/2602.14922 · HTML: https://mlsanity.com/paper/2602.14922/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use.
- Builds on 14 of its 14 references that are in the map.
- First posted on arXiv 16 Feb 2026.

## Placed in

- LLM agents and tool use / [Software engineering coding agents](https://mlsanity.com/agents/software-engineering-coding-agents/)

## Builds on (most cited first, 14 of 14)

- [OpenHands: An Open Platform for AI Software Developers as Generalist Agents](https://mlsanity.com/paper/2407.16741/) (2024)
- [xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations](https://mlsanity.com/paper/2506.13651/) (2025)
- [TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation](https://mlsanity.com/paper/2402.10178/) (2024)
- [LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation](https://mlsanity.com/paper/2510.04851/) (2025)
- [Benchmarking Agentic Workflow Generation](https://mlsanity.com/paper/2410.07869/) (2024)
- [Advancing Agentic Systems: Dynamic Task Decomposition, Tool Integration and Evaluation using Novel Metrics and Dataset](https://mlsanity.com/paper/2410.22457/) (2024)
- [TALM: Dynamic Tree-Structured Multi-Agent Framework with Long-Term Memory for Scalable Code Generation](https://mlsanity.com/paper/2510.23010/) (2025)
- [Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration](https://mlsanity.com/paper/2505.23187/) (2025)
- [STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls](https://mlsanity.com/paper/2512.02228/) (2025)
- [Generating a Low-code Complete Workflow via Task Decomposition and RAG](https://mlsanity.com/paper/2412.00239/) (2024)
- [Flow State: Humans Enabling AI Systems to Program Themselves](https://mlsanity.com/paper/2504.03771/) (2025)
- [PublicAgent: Multi-Agent Design Principles From an LLM-Based Open Data Analysis Framework](https://mlsanity.com/paper/2511.03023/) (2025)
- [TextualVerifier: Verify TextGrad Step-by-Step](https://mlsanity.com/paper/2511.03739/) (2025)
- [Graph-Memoized Reasoning: Foundations Structured Workflow Reuse in Intelligent Systems](https://mlsanity.com/paper/2511.15715/) (2025)

## Abstract (arXiv)

To address the ``reusability dilemma'' and structural hallucinations in enterprise Agentic AI,this paper proposes ReusStdFlow, a framework centered on a novel ``Extraction-Storage-Construction'' paradigm. The framework deconstructs heterogeneous, platform-specific Domain Specific Languages (DSLs) into standardized, modular workflow segments. It employs a dual knowledge architecture-integrating graph and vector databases-to facilitate synergistic retrieval of both topological structures and functional semantics. Finally, workflows are intelligently assembled using a retrieval-augmented generation (RAG) strategy. Tested on 200 real-world n8n workflows, the system achieves over 90% accuracy in both extraction and construction. This framework provides a standardized solution for the automated reorganization and efficient reuse of enterprise digital assets.