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

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

Core – open-source memory graph for AI agents (88.24% SOTA on LoCoMo) is active in the show hn launch space.

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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

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Website: blog.heysol.ai/we-built-memory-for-individuals-and-achieved-sota-on-locomo-benchmark