Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact.
Synapse Context Engine (SCE) is a brain-inspired hypergraph-based AI memory architecture for persistent context, coherent reasoning, and long-term memory, designed for transparency and safety.
A lightweight yet powerful Python library designed to bridge the gap between static graph/hypergraph visualizations and dynamic AI-driven exploration.
Publish your Obsidian notes and knowledge to The Graph's Knowledge Graph using GRC-20
SDK for developing apps on top of Hypermemory
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