Show HN: Core – open-source memory graph for AI agents (88.24% SOTA on LoCoMo)

You brainstorm in ChatGPT, debug in Cursor, try a new coding agent and re-explain everything from scratch. With every new AI tool, the cost of context switching grows.

2 months ago we launched CORE: an open-source, personal, portable memory layer for individuals designed to work the way humans think: context-rich, evolving, and shareable across AI tools.

We evaluated CORE using the LoCoMo benchmark, a rigorous test involving 1,540 questions across 10 multi-turn conversations. Achieving an overall accuracy of *88.24%*, CORE outperformed existing systems in all categories:

- Single-hop recall: 91%

- Multi-hop reasoning: 85%

- Temporal understanding: 88%

- Open-domain synthesis: 71%

- Overall: 88%

For detailed info on our approach, architecture, and the full benchmark results check our blog post.

Try it and give us some feedback:

- Hosted free tier (HN launch): https://core.heysol.ai

- Local: docker compose up from https://github.com/RedPlanetHQ/core