In Memoria provides persistent memory storage for AI agents. It exposes APIs for storing, retrieving, and managing agent memories. It connects to local file systems for data persistence. Developers use it to build AI agents that retain knowledge across sessions.
In Memoria provides persistent memory storage for AI agents. It exposes APIs for storing, retrieving, and managing agent memories. It connects to local file systems for data persistence. Developers use it to build AI agents that retain knowledge across sessions.
npx -y in-memoriaAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"pi22by7-in-memoria-github": {
"command": "npx",
"args": [
"-y",
"npx -y in-memoria"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from In Memoria?"
No configuration required. This server works out of the box.
"What resources are available in In Memoria?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in In Memoria"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in In Memoria with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.