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engram

SkillGitHubActivePython

Evidence-based learning engine — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.

Description provenance: Original source

Open canonical source

Measured: Oct 22, 2026 · 71 observations

Domains & Uses

Domains
Agents, skills and MCP
Uses
Agent skills, Code assistants

Installation

/plugin marketplace add nagisanzenin/engram

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/nagisanzenin/engram

Classifications

Nature
Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

1,459stars · Oct 22, 2026

+32 (+2.2 %)since Sep 22, 2026

Sep 22, 2026 : 1,427 starsSep 23, 2026 : 1,427 starsSep 24, 2026 : 1,430 starsSep 25, 2026 : 1,431 starsSep 26, 2026 : 1,435 starsSep 27, 2026 : 1,436 starsSep 28, 2026 : 1,436 starsSep 29, 2026 : 1,438 starsSep 30, 2026 : 1,439 starsOct 1, 2026 : 1,439 starsOct 2, 2026 : 1,440 starsOct 3, 2026 : 1,441 starsOct 4, 2026 : 1,440 starsOct 5, 2026 : 1,441 starsOct 6, 2026 : 1,439 starsOct 7, 2026 : 1,441 starsOct 8, 2026 : 1,442 starsOct 9, 2026 : 1,446 starsOct 10, 2026 : 1,445 starsOct 11, 2026 : 1,446 starsOct 12, 2026 : 1,446 starsOct 13, 2026 : 1,447 starsOct 14, 2026 : 1,452 starsOct 15, 2026 : 1,452 starsOct 16, 2026 : 1,452 starsOct 17, 2026 : 1,453 starsOct 18, 2026 : 1,453 starsOct 19, 2026 : 1,453 starsOct 20, 2026 : 1,456 starsOct 21, 2026 : 1,458 starsOct 22, 2026 : 1,459 stars
Exact values · 31 readings
MeasuredstarsChange
1,459+1
1,458+2
1,456+3
1,4530
1,4530
1,453+1
1,4520
1,4520
1,452+5
1,447+1
1,4460
1,446+1
1,445-1
1,446+4
1,442+1
1,441+2
1,439-2
1,441+1
1,440-1
1,441+1
1,440+1
1,4390
1,439+1
1,438+2
1,4360
1,436+1
1,435+4
1,431+1
1,430+3
1,4270
1,427·