Traditional RAG loses context and connections. HyperMemory uses hypergraph technology to capture rich relationships between memories, giving your agents structured recall that actually understands context.
“The client loved the pitch but wants us to cut the price by 15%. Jordan thinks we should hold firm and offer more support hours instead.”
“What was Jordan's take on the client pricing issue?”
RAG returns: Three old docs mentioning “pricing”, a template called “client proposal”, and a note where Jordan commented on an unrelated internal budget review.
HyperMemory returns: Jordan recommended holding the price firm and countering with additional support hours, in response to the client's request for a 15% discount.
HyperMemory stores your agent's knowledge as a hypergraph. Not flat text. Not isolated vectors. Memories connect through relationships, concepts and ideas.
A hyperedge connects three, four, or more concepts at once. Not pairs. Not fragments. One relationship captures the full context of how knowledge works.
Create a free account and get your API key in seconds.
Add one config block to your MCP client.
Your agent stores and recalls memories automatically.
Not another vector database. A knowledge graph your agents can navigate.
Multi-way relationships, not just A→B edges. Capture complex contexts in a single relationship.
Built for the Model Context Protocol standard. Works with any MCP-compatible client.
Query memories the way you think. No query language to learn.
Every memory knows when it was created and updated. Query point-in-time state.
The schema constantly evolves to best represent the information, concepts, and knowledge in your memories.
Returns not just matches, but the surrounding relationships and context that make memories meaningful.
Start free. 1,000 nodes. 10,000 queries. No credit card required.