AI Native PKMs
==tl;dr: AI Native PKMs, using a Graph DB to store knowledge==
Why?
- old learning methods are outdated
- i find myself mostly using chatgpt in combination with Obsidian / Anki
- i wish there was a way to do all the learning in chatgpt
- goal: have a chat that you can use to learn new stuff and automatically update the saved knowledge (like automatically creating obsidian notes etc)
What?
- views:
- chat view (main)
- knowledge base
- stored in a graph db
- graph UI + tabular UI
Open Questions
- what should the graph ontology look like?
- how to ensure fast responses in the chat view, even tho a lot of RAG (and updating) is necessary?
How?
- webapp
- neo4j?!
Related
- OpenClaw for PKM — proactive AI background agent; the backend layer this envisions
- Open-Source Model-Agnostic AI Platform — the full platform framing: open-source Claude equivalent (chat + coding agent + routines)
- Agent-Native Software Architecture — the architectural pattern underlying this kind of AI-native tooling