nagisanzenin/engram

Health v2 · maintenance only

Flags: young

Adoption not part of the score

1426 stars · 103 forks observed · 2026-09-22

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Engram is a Claude Code plugin (portable to other agentic platforms) that turns your AI coding agent into a personal tutor for the human user. It builds first-principles curricula, verifies learning through free-recall questioning with receipts, and schedules reviews using the FSRS spaced-repetition algorithm — all fully local with no network code.

Use cases

• learn a new topic with an AI tutor that makes me do the thinking
• verify I actually understood something my agent explained
• schedule spaced-repetition reviews of concepts I learned
• build a first-principles curriculum for any subject
• test my recall with a blind examiner instead of re-reading notes
• keep knowledge long-term instead of forgetting it next month
• use my coding agent as a learning coach

When to choose

• you use Claude Code, Codex, OpenCode, or another supported agentic platform and want to learn and retain material
• you want evidence-based learning with FSRS scheduling and verifiable recall checks
• you need a fully local, privacy-preserving learning engine with no network calls
• you want measurable proof of what you actually know

When to avoid

• you want your agent to have persistent memory or codebase context — this is not an agent-memory tool
• you need a standalone flashcard app without an AI agent
• you want a hosted or cloud-synced learning platform

Facets

plugin · maturity active

scheduling nlp developer-tools education artificial-intelligence developer-tools cli cross-platform python claude-code-plugin spaced-repetition fsrs learning-science free-recall tutor agentic-platforms local-first education

Member repositories

For agents

markdown · JSON · MCP: product_card(name="nagisanzenin/engram")