M
Manik_agg
I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps.
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:
Repo: GitHub - RedPlanetHQ/core: Your personal plug and play memory layer for LLMs
What we built
Comments URL: Show HN: Core – open source memory graph for LLMs – shareable, user owned | Hacker News
Points: 89
# Comments: 35
Continue reading...
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:
Repo: GitHub - RedPlanetHQ/core: Your personal plug and play memory layer for LLMs
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.
- Hosted free tier (HN launch): CORE
- Docs: Overview - SOL Documentation
Comments URL: Show HN: Core – open source memory graph for LLMs – shareable, user owned | Hacker News
Points: 89
# Comments: 35
Continue reading...