metacog-links

What problem does it solve?

Dynamic memory linking across a Zettelkasten-style memory graph surfaces relevant associations, helps maintain context, and accelerates long-term recall in complex knowledge tasks.

Core Features & Use Cases

• Automatic memory linkage: when new notes are created, cross-references to related memories are established based on similarity and intent signals.
• Rich retrieval with UHMS: perform high-dimensional vector search and embedding-based queries to fetch top matches with measured strength.
• Graph exploration and scoring: traverse links up to two hops (BFS) to reveal contextual pathways, with time-decay applied to memory strengths and a defined set of link types (derived_from, contradicts, supports, elaborates, predicted_by).
• Safety and governance: dynamic link policies ensure human-in-the-loop review for high-risk operations and keep links within defined memory groups.
• Use Case: quickly surface connected notes, sources, and insights to build a coherent literature map from a new concept.

Quick Start

Query the memory graph for links related to a given memory ID using memory.metacog.links.get and review the top results.