Opensource, AI powered and unique learning workspace. MapMind keeps the graph as the working surface: AI can help expand, audit, and restructure it, every change is reviewable and supports rollback. The hosted version is the easiest way to try it (libraries, mobile support). There’s also an open-source local version if you want full control with your API.

New VS Code Extensions by Kilo Code — Run Parallel AI Agents in VS Code. Free & Open Source

Run Parallel AI Agents in VS Code. Free & Open Source

MM AI helps you keep your study path structured even with hundreds of topics Features: ✨Graph-first workspace: subject graphs, visible prerequisites, manual layout, zones, topic resources, artifacts, and import/export. ✏️The whole control over generation: ingest rough topic lists, expand toward a target, review changes before apply (snapshots reversible). 📚Study loop that stays attached to structure (AI agent): topic sessions, assistant help, closure quizzes, and manual completion when quiz gating is disabled. Different because it’s not a chatbot or just “AI teacher”. The main concept is pretty simple yet useful for self-learners. Perfect for researchers, mentors, students and knowledge work

New VS Code Extensions by Kilo Code — Run Parallel AI Agents in VS Code. Free & Open Source

Run Parallel AI Agents in VS Code. Free & Open Source

Mapmind Workspace

Agentic graph-based learning app for structured self-study

Agentic graph-based learning app for structured self-study