by rzhub · Agent Tool · ★ 49
GateMem -- Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents GateMem evaluates whether memory-augmented LLM agents can remain useful, enforce access control, and honor deletion requests in multi-principal shared-memory environments. 📄 Paper • 🤗 Hugging Face Dataset • 🧪 Benchmark Toolkit • 🗂 Dataset Card • 🏆 Leaderboard • 🌐 Project Page ⭐ If you find GateMem useful, please consider starring the repository to help others discover the benchmark. <p alig
| Stars | 49 |
| Forks | 0 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.3835852042123/100 |
| Last Updated | 2026-06-21 |
| Created | 2026-06-16 |
| Platforms | python |
| Est. Tokens | ~15k |
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GateMem is GateMem: a benchmark and evaluation toolkit for memory governance in multi-principal shared-memory LLM agents.. It is categorized as a Agent Tool with 49 GitHub stars.
GateMem is primarily written in Python. It covers topics such as agent-memory, ai-safety, benchmark.
You can find installation instructions and usage details in the GateMem GitHub repository at github.com/rzhub/GateMem. The project has 49 stars and 0 forks, indicating an active community.
GateMem is released under the MIT license, making it free to use and modify according to the license terms.