Open Source Knowledge Map

Open Knowledge Maps is an AI search engine that visualizes scientific literature across disciplines, clustering related papers to reveal topic connections and trends. It supports varied document types, offers high‑quality metadata, multilingual browsing, and open‑source integration.

MyMap turns text prompts into mind maps, flowcharts, SWOT, timelines, and database schemas on an infinite canvas. It auto‑generates and places nodes with real‑time AI context awareness, letting users drag, connect, and reorganize for brainstorming and planning.

OpenRead centralizes research by letting users upload documents, search 20,000+ journals, compare papers, generate Q&A, graphs, notes, and chat with AI models. It also offers diagram creation, image editing, and homework help, with frequent model updates.

WiseMap uses ChatGPT to expand keyword‑driven mind maps, adding nodes and refining structures via natural language. It offers AI‑generated backgrounds, unlimited edits, export options, and collaborative sharing with credit tracking for teams and educators.

Onri maps learning paths across many subjects, visualizing the shortest routes to skill acquisition. Its knowledge map links foundational concepts to advanced topics, lets users track progress, spot trending areas, and access curated modules on essential life skills.

Qonqur automatically maps uploaded academic papers into interactive citation networks, visualizing current research positions and future discovery paths. It updates in real time, tracks progress, supports multiple disciplines, and highlights emerging trends through generative AI.

Open Notebook is a self-hosted, open-source notebook for private LLM workflows, supporting over 16 AI providers. It enables multi-modal content management, vector search, and contextual chat with full data sovereignty for research and development teams.