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New benchmark MemDev-Bench evaluates memory systems for code agents

By PulseAugur Editorial · [2 sources] ·

A new benchmark called MemDev-Bench has been developed to evaluate the effectiveness of memory systems for code agents working with evolving code repositories. The benchmark addresses limitations in existing systems by incorporating temporally valid histories and controlling for task relevance. Initial findings indicate that memory primarily enhances fine-grained code localization and editing, leading to improved functional correctness. However, memory systems can also introduce failures by causing agents to reuse inapplicable past experiences, and raw historical trajectories appear more efficient than compressed memories. AI

IMPACT This benchmark could lead to more effective memory systems for AI agents, improving their ability to work with complex, evolving codebases.

RANK_REASON The cluster describes a new academic benchmark and research paper published on arXiv.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New benchmark MemDev-Bench evaluates memory systems for code agents

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Guorui Chen, Tao Liu, Zhenzhen Huang, Yidan Zhang, Liyu Jiang, Shuoyuan Wang, Hanchen Sun, Xu He, Dong Li, Yihan Hu, Jianye Hao, Lei Feng ·

    MemDev-Bench: Does Memory Help Code Agents?Benchmarking Memory Systems over Real Repository Histories

    arXiv:2610.27524v1 Announce Type: new Abstract: Code agents increasingly work on evolving real repositories, and memory systems aim to help them reuse earlier experience. However, such experience is diverse and evolving, so it remains unclear how memory systems organize it and th…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    MemDev-Bench: Does Memory Help Code Agents?Benchmarking Memory Systems over Real Repository Histories

    Code agents increasingly work on evolving real repositories, and memory systems aim to help them reuse earlier experience. However, such experience is diverse and evolving, so it remains unclear how memory systems organize it and thereby affect code agents. Existing benchmarks ca…

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