ConceptLoom

ConceptLoom is an AI learning workflow for Codex, Claude Code, OpenCode, and DeepSeek that builds a personalized path and teaches step by step.

Concept Loom turns a coding agent into a structured learning partner. It helps you define a useful goal, finds the edge of your current understanding, proposes a short dependency path, and teaches one connection at a time. It works with topics you explore from scratch and with your own books, courses, notes, code, and transcripts. The system measures recognition, recall, application, and transfer separately, and revisits due concepts through spaced retrieval. It displays small structures as monospace text diagrams and larger relationship maps as Mermaid blocks.

ConceptLoom at a glance

Best for: Software engineer, Marketer, Social media creator
Runs on: Node.js, CLI, open source
Pricing: Free and open source under the MIT license
Released: October 2026
Category: AI image tool
Website: github.com/zproger/conceptloom

Key features

Defines practical learning goals
Finds gaps in current understanding
Teaches one connection at a time
Uses concealed-answer checkpoints
Measures recognition, recall, and application
Tracks concepts via spaced retrieval
Saves concise Markdown learning notes
Outputs text and Mermaid diagrams

Use it for

Learning new topics from scratch
Studying books, courses, and PDFs
Reviewing code and transcripts
Testing understanding with checkpoints

Companions

Tools that articles about ConceptLoom recommend using with it, each with its job.

Codex — Built to work with Codex.
Claude Code — Built to work with Claude Code.
OpenCode — Built to work with OpenCode.
Context7 — Provides up-to-date documentation for AI agents and code editors.
Superpowers — Plan, test and execute workflows across harnesses.
Composio — One login for GitHub, Linear, Slack and 1,000+ apps.

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