Show HN: Core – open source memory graph for LLMs – shareable, user owned
The deeper problem
1. Not portable – context is vendor-locked; nothing travels across tools.
2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance.
3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried.
Demo video: https://youtu.be/iANZ32dnK60
Repo: https://github.com/RedPlanetHQ/core
What we built
- CORE (Context Oriented Relational Engine): An open source, shareable knowledge graph (your memory vault) that lets any LLM (ChatGPT, Cursor, Claude, SOL, etc.) share and query the same persistent context.
- Temporal + relational: Every fact gets a full version history (who, when, why), and nothing is wiped out when you change it—just timestamped and retired.
- Local-first or hosted: Run it offline in Docker, or use our hosted instance. You choose which memories sync and which stay private.
Try it
- Hosted free tier (HN launch): https://core.heysol.ai
--- Unlike most memory systems—which act like basic sticky notes, only showing what’s true right now. C.O.R.E is built as a dynamic, living temporal knowledge graph:
Every fact is a first-class “Statement” with full history, not just a static edge between entities. Each statement includes what was said, who said it, when it happened, and why it matters. You get full transparency: you can always trace the source, see what changed, and explore why the system “believes” something. ---