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Show HN: Core – open source memory graph for LLMs – shareable, user owned

(github.com)
111 points Manik_agg | 2 comments | 01 Jul 25 16:24 UTC | HN request time: 0.441s | source

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: 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

- Docs: https://docs.heysol.ai/core/overview

Show context
smcleod ◴[01 Jul 25 22:43 UTC] No.44438622[source]▶
> Local Setup > Prerequisites > OpenAI API Key

This does not seem to be local and additionally appears to be tied to one SaaS LLM provider?

replies(2): >>44438640 #>>44438698 #
Manik_agg ◴[01 Jul 25 22:53 UTC] No.44438698[source]▶
Hey we are actively working on improving support for Llama models. At the moment, CORE does not provide optimal results with Llama-based models, but we are making progress to ensure better compatibility and output in the near future.

Also we build core first internally for our main project SOL - AI personal assistant. Along the journey of building a better memory for our assistant we realised it's importance and are of the opinion that memory should not be vendor locked. It should be pluggable and belong to the user. Hence build it as a separate service.

replies(1): >>44438915 #
1. smcleod ◴[01 Jul 25 23:33 UTC] No.44438915[source]▶
I definitely would not recommend llama models, they were mostly outdated by the time they released, but the likes of Qwen, deepseek etc are much more useful.
replies(1): >>44438997 #
2. Manik_agg ◴[01 Jul 25 23:48 UTC] No.44438997[source]▶
Hey we started with llama but since llama was not giving good results hence fall backed to using gpt and launch it.

We will evaluate qwen and deepseek going forward, thanks for mentioning.