A knowledge graph spanning multiple domains and projects
hadrongraph.io
Humans and AI, working together to build a living knowledge base. Step by step, until AI can continue the path with precision.
Expert knowledge lives in people's heads. When it's written down at all, it ends up in wikis and documents that go stale the moment they're published. Nobody maintains them. Nobody trusts them.
AI alone can't fix this. Left to guess, it scans source material and produces confident but imprecise output. On complex systems and difficult work, that's not good enough.
Hadron Graph is a knowledge engineering system built on one idea: the winning combination is tight collaboration between humans and AI.
Experts and AI work side by side on real tasks. Step by step, the human guides, corrects, and explains. The AI documents what it learns as it happens — capturing not just facts, but nuance, reasoning, and context. Each insight becomes a focused topic in a structured, navigable graph.
Over time, the AI learns enough to continue on the path with high precision and nearly unsupervised. The knowledge base it built along the way serves everyone — people and AI agents alike.
On complex systems and difficult work, this is the only way. Hadron makes it happen.
A knowledge graph spanning multiple domains and projects
Experts work alongside AI on real tasks. The human leads, the AI follows — asking, attempting, getting corrected. This is where knowledge transfers: through doing the work, not describing it.
The AI captures what it learns during collaboration — not after the fact. Each insight becomes an atomic topic: one concept, one file, connected to related topics in a growing graph.
Once enough of the path is mapped, AI can follow it with high precision and minimal supervision. The knowledge graph gives it exactly the context it needs — earned through experience, not guessed from source material.
Hadron detects when changes invalidate existing knowledge and surfaces what needs updating. The knowledge base stays current because the system actively maintains coherence — for every reader, human or machine.
Knowledge is distilled from real collaboration and expert correction — not auto-generated from source material.
One concept per topic. Focused and precise rather than exhaustive and unread.
Everything lives as plain files alongside the work it describes. No external system to fall out of sync.
One living knowledge base, readable and useful for everyone. People onboard, AI agents execute — from the same source of truth.