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HyperMemory

Persistent memory for AI agents, built on hypergraph technology.

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© 2026 HyperMemory. All rights reserved.

Accurate long-term memory for AI agents

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.

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Chat day 1

“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.”

Chat day 3

“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.

Memory that better represents real memories

AccountantCPAQ3 BudgetAlexJanis

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.

See it in action

Get started in 5 minutes

1

Install

Create a free account and get your API key in seconds.

2

Connect

Add one config block to your MCP client.

3

Remember

Your agent stores and recalls memories automatically.

Built for how memory actually works

Not another vector database. A knowledge graph your agents can navigate.

Hypergraph-native

Multi-way relationships, not just A→B edges. Capture complex contexts in a single relationship.

MCP-first

Built for the Model Context Protocol standard. Works with any MCP-compatible client.

Natural language recall

Query memories the way you think. No query language to learn.

Time-aware

Every memory knows when it was created and updated. Query point-in-time state.

Dynamic schema

The schema constantly evolves to best represent the information, concepts, and knowledge in your memories.

Context-aware

Returns not just matches, but the surrounding relationships and context that make memories meaningful.

Works with
ClaudeOpenClawCrewAIOpenAIn8n
+ any MCP client
Works with
ClaudeOpenClawCrewAIOpenAIn8n+ any MCP client

Give your agents memory that lasts

Start free. 1,000 nodes. 10,000 queries. No credit card required.

Get Started Free