engram-memory

About engram-memory

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

ai ai-memory ai-tools embedded-systems embedding embedding-vectors embeddings fastembed local-ai mcp

Quick Facts

Stars	29
Forks	4
Language	Python
Category	MCP Server
Quality Score	36.25/100
Open Issues	2
Last Updated	2026-05-21
Created	2026-03-28
Platforms	cli, mcp, python
Est. Tokens	~56k

Compatible Skills

These tools work well together with engram-memory for enhanced workflows:

skills — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
automem — semantic(0.49)+complementary+rare_topics+same_lang+shared_platform (57%)
Mimir — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is engram-memory?

engram-memory is The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.. It is categorized as a MCP Server with 29 GitHub stars.

What programming language is engram-memory written in?

engram-memory is primarily written in Python. It covers topics such as ai, ai-memory, ai-tools.

How do I install or use engram-memory?

You can find installation instructions and usage details in the engram-memory GitHub repository at github.com/EngramMemory/engram-memory. The project has 29 stars and 4 forks, indicating an active community.

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