GateMem

About GateMem

GateMem: a benchmark and evaluation toolkit for memory governance in multi-principal shared-memory LLM agents.

agent-memory ai-safety benchmark llm-agent nlp

Quick Facts

Stars	50
Forks	0
Language	Python
Category	Agent Tool
License	MIT
Quality Score	39.75/100
Last Updated	2026-06-21
Created	2026-06-16
Platforms	python
Est. Tokens	~297k

Compatible Skills

These tools work well together with GateMem for enhanced workflows:

PawBench — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
ogham-mcp — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
caura-memclaw — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
LycheeMem — semantic(0.42)+complementary+same_lang+similar_pop (55%)
MaliciousAgentSkillsBench — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is GateMem?

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 50 GitHub stars.

What programming language is GateMem written in?

GateMem is primarily written in Python. It covers topics such as agent-memory, ai-safety, benchmark.

How do I install or use GateMem?

You can find installation instructions and usage details in the GateMem GitHub repository at github.com/rzhub/GateMem. The project has 50 stars and 0 forks, indicating an active community.

What license does GateMem use?

GateMem is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Agent Tool tools