GraphMind
An AI memory and knowledge graph platform that uses a graph database to model memories, people, projects, tasks and decisions as entities and relationships, enabling context-aware retrieval and explainable answers.
Timeline (last 90 days)
GraphMind is an AI memory and knowledge graph platform whose goal is to connect memories, people, projects, tasks and decisions in one place.
GraphMind chose FalkorDB as its underlying graph database because the project's core requirement is the relationships between entities rather than single isolated records.
GraphMind uses a front-end/back-end separated architecture, including a front end (dashboard, memory management, AI assistant and knowledge graph interface), a Node.js back end, the FalkorDB cloud database and a graph retrieval layer.
GraphMind's tech stack uses React, TypeScript, Node.js and FalkorDB Cloud, and AI-assisted programming was used during development.
GraphMind keeps database credentials in the back end and does not expose them in front-end code, which is a basic requirement of the security boundary.
GraphMind's next milestone is to connect end-to-end graph operations: saving memories, connecting entities, retrieving related information, and showing the relationship paths that support the answer.
GraphMind is not positioned as a commercial product but as a public exploration of how graph databases can help AI agents maintain context.
All Facts (7)
GraphMind's tech stack uses React, TypeScript, Node.js and FalkorDB Cloud, and AI-assisted programming was used during development.
50%UnverifiedGraphMind chose FalkorDB as its underlying graph database because the project's core requirement is the relationships between entities rather than single isolated records.
50%UnverifiedGraphMind uses a front-end/back-end separated architecture, including a front end (dashboard, memory management, AI assistant and knowledge graph interface), a Node.js back end, the FalkorDB cloud database and a graph retrieval layer.
50%UnverifiedGraphMind is an AI memory and knowledge graph platform whose goal is to connect memories, people, projects, tasks and decisions in one place.
50%UnverifiedGraphMind keeps database credentials in the back end and does not expose them in front-end code, which is a basic requirement of the security boundary.
50%UnverifiedGraphMind is not positioned as a commercial product but as a public exploration of how graph databases can help AI agents maintain context.
50%UnverifiedGraphMind's next milestone is to connect end-to-end graph operations: saving memories, connecting entities, retrieving related information, and showing the relationship paths that support the answer.
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