Wenlan
Wenlan is a source-backed AI knowledge base and LLM wiki for AI work: organize documents and decisions into pages you can find, inspect, and review.
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Read the full README ↗A browser-based interactive tool for hexagonal thinking — a participatory visual facilitation method that helps groups surface connections between concepts, bridge diverse ways of knowing, and build shared understanding across difference.
Hexagonal thinking was originally developed by Anthony Hodgson as a systems thinking facilitation technique designed to bridge the gap between the generalist knowledge of decision makers and the specialized knowledge of domain experts. Writing in the European Journal of Operational Research, Hodgson (1992) described hexagons as flexible, movable units of meaning — "idons" — that groups could arrange and rearrange to make tacit knowledge visible and to build collective models of complex problems.
The technique has since traveled into educational and community settings, where its participatory logic translates especially well: no single arrangement is correct, adjacency carries meaning, and the process of moving tiles is the thinking. It mirrors the structure of neural networks, activating connections between ideas that linear or list-based approaches leave latent.
Hodgson, A. M. (1992). Hexagons for systems thinking. European Journal of Operational Research, 59(1), 220–230. https://doi.org/10.1016/0377-2217(92)90019-6
Community-engaged research brings together stakeholders with radically different knowledge traditions, institutional languages, and lived experiences. Hexagonal thinking is particularly well-suited to this context because it:
No installation required. Visit the [centrinnovations.github.io/hexagons](live app). (Icon suggestions download the embedding model on first use and cache it; the rest of the app works fully offline.)
To run locally:
git clone https://github.com/CEnTRInnovations/hexagons.git
cd hexagons
open index.html
This tool has been used in community-engaged research and education contexts including:
Developed by Jeremy Price, Indiana University Indianapolis.