MemoryAgentBench

HUST-AI-HYZ

Open source code for ICLR 2026 Paper: Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

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311 Stars

49 Forks

311 Watchers

Python Language

100 SrcLog Score

Cost to Build

$91.8K

Market Value

$319.8K

How is this calculated?

Growth over time

3 data points · 2026-04-11 → 2026-04-26

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What is the HUST-AI-HYZ/MemoryAgentBench GitHub project? Description: "Open source code for ICLR 2026 Paper: Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone MemoryAgentBench

Clone via HTTPS

git clone https://github.com/HUST-AI-HYZ/MemoryAgentBench.git

Clone via SSH

[email protected]:HUST-AI-HYZ/MemoryAgentBench.git

Download ZIP

Download master.zip

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