HUST-AI-HYZ/MemoryAgentBench
Open source code for ICLR 2026 Paper: Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
- Stars
- 477
- Forks
- 64
- Open issues
- 5
- Last push
- 27d ago
About MemoryAgentBench
MemoryAgentBench is a free, open-source AI agent tool by HUST-AI-HYZ, written mainly in Python. Open source code for ICLR 2026 Paper: Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions. It has 477 GitHub stars and 64 forks, and was last updated 27d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 477
- Last update
- 27d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Required
- Self-hostable
- Yes
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MemoryAgentBench FAQ
Is MemoryAgentBench free?
MemoryAgentBench is open source, but it needs a paid third-party API key to work. It's released under the MIT license, a standard open-source license.
Does MemoryAgentBench run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does MemoryAgentBench need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is MemoryAgentBench still maintained?
Yes. It was last updated 27d ago and has 5 open issues on GitHub.
What are alternatives to MemoryAgentBench?
Similar free, open-source tools include hermes-agent, mem0, TencentDB-Agent-Memory, anything-llm.