GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
47views this month
Decision brief
MindGeniusAI is a self-hostable tool that converts PDF content into editable mind maps through various AI providers.
Good fit when
- When needing personalized mind mapping from PDFs, leveraging your preferred language model provider directly
- For projects requiring strict data privacy controls due to self-hosting and key management within the browser
Avoid when
- If commercial license requirements are not preferable compared to potentially more flexible competitor models
- When deployment simplicity is crucial as MindGeniusAI necessitates a setup with specific environment configurations
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (82d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install MindGeniusAI npmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Self-hostable TypeScript-based application for generating mind maps from PDF documents using various language model providers. Features a visible tool-calling loop, RAG support, multi-provider compatibility (OpenAI/Claude/etc.), bring-your-own-key functionality.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Sep 20, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Sep 20, 2026
Categories
Tags
README
⚡️ Quick Start No key at setup? Skip it and paste one later in the app's Settings (top right) — it stays in your browser only. 🚀 Docker The whole app ships as one image (server serves the web bundle + API): ```bash docker run p 3000:3000 e OPENAI API KEY=sk ... ghcr.io/xianjianl...
For agents
This page has a .md twin and JSON over the API.