automem

by verygoodplugins · Agent Tool · ★ 770

About automem

Long-term memory for AI assistants. Graph + vector. Runs on your hardware. containing a thumbnail image linking to the vidrush demo URL once recorded. Suggested markup: <img src="docs/img/

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Quick Facts

Stars770
Forks98
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score63.5954027232178/100
Open Issues13
Last Updated2026-07-07
Created2025-09-16
Platformspython
Est. Tokens~16k

Compatible Skills

These tools work well together with automem for enhanced workflows:

  • honcho — semantic(0.45)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • mcp-memory-service — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • mengram — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • claude-self-reflect — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • forgetful — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)

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Frequently Asked Questions

What is automem?

automem is AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:. It is categorized as a Agent Tool with 770 GitHub stars.

What programming language is automem written in?

automem is primarily written in Python. It covers topics such as ai, ai-memory, anthropic.

How do I install or use automem?

You can find installation instructions and usage details in the automem GitHub repository at github.com/verygoodplugins/automem. The project has 770 stars and 98 forks, indicating an active community.

What license does automem use?

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

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