Hippocampus AI

Hippocampus AI is the memory and reasoning engine for scientific discovery. Every experiment generates valuable knowledge, but that knowledge becomes fragmented across ELNs, protocols, GitHub, notebooks, sequencing pipelines, papers, and conversations. As researchers leave and projects evolve, context is lost, experiments are repeated, and discoveries remain disconnected. Hippocampus continuously captures knowledge from a laboratory's existing tools, builds a living knowledge graph of experiments, reagents, protocols, analyses, hypotheses, and literature, and exposes that memory to Claude Science through an MCP server. Claude reasons over the lab's complete institutional knowledge, not just public scientific literature. Instead of waiting for prompts, Hippocampus proactively detects contradictions, identifies repeated work, surfaces relevant prior experiments and new publications, and recommends the highest-value next experiment. Every conclusion is backed by traceable evidence from the laboratory's own records, making hallucinated citations structurally impossible. Rather than replacing existing workflows, Hippocampus becomes the intelligence layer that turns every experiment into knowledge and every future experiment into a better-informed decision.