engram

by NanoFlow-io · Agent Tool · ★ 123

About engram

🧠 Hybrid long-term memory plugin for OpenClaw agents — SQLite+FTS5 for structured facts, LanceDB for semantic recall

ai-agentsembeddingslancedbmemoryopenclawragsqlitetypescript

Quick Facts

Stars123
Forks1
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score42.25/100
Open Issues1
Last Updated2026-06-08
Created2026-05-20
Platformsnode
Est. Tokens~3k

Compatible Skills

These tools work well together with engram for enhanced workflows:

  • openclaw-memx — semantic(0.43)+complementary+same_lang+similar_pop+shared_platform (60%)
  • memX — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (58%)
  • openclaw-supermemory — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)
  • remnic — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)
  • hivemind — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is engram?

engram is 🧠 Hybrid long-term memory plugin for OpenClaw agents — SQLite+FTS5 for structured facts, LanceDB for semantic recall. It is categorized as a Agent Tool with 123 GitHub stars.

What programming language is engram written in?

engram is primarily written in TypeScript. It covers topics such as ai-agents, embeddings, lancedb.

How do I install or use engram?

You can find installation instructions and usage details in the engram GitHub repository at github.com/NanoFlow-io/engram. The project has 123 stars and 1 forks, indicating an active community.

What license does engram use?

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

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