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Persistent memory for AI agents, built on hypergraph technology.

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Connect any MCP client to HyperMemory

HyperMemory is a standards-compliant MCP server. If your agent or framework supports the Model Context Protocol, it works with HyperMemory.

Why This Works

The Model Context Protocol is becoming the standard for connecting AI agents to external tools and data. HyperMemory implements the MCP server specification with HTTP/SSE transport and OAuth 2.1 authentication. Any client that speaks MCP can connect — no custom adapters, no SDK dependencies, no wrapper code.

Quick Setup

Point your MCP client to the HyperMemory server:

Server URL:  https://api.hypermemory.io/mcp
Transport:   HTTP/SSE (Streamable HTTP)
Auth:        Bearer token (API key)

Standard MCP client configuration:

{
  "mcpServers": {
    "hypermemory": {
      "type": "url",
      "url": "https://api.hypermemory.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Available Tools

ToolDescription
memory_storeStore a memory node with metadata and relationships
memory_recallQuery memories by natural language
memory_find_relatedFind nodes related to a given node
memory_get_relationshipsGet all relationships for a node
memory_updateUpdate an existing memory node
memory_forgetRemove a memory node
memory_export_subgraphExport a portion of the graph
memory_load_linkImport a subgraph from another source

Use Case

A team building a custom agent framework in Rust adds long-term memory in an afternoon. They point their MCP client at HyperMemory's endpoint, authenticate with an API key, and their agent immediately has access to structured memory tools. No SDK to install, no library to maintain — just the MCP standard.

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