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Ori Mnemos
Persistent memory infrastructure for AI agents with identity, knowledge graph, and semantic search.
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About
Persistent memory infrastructure for AI agents with identity, knowledge graph, and semantic search.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
web_search
Search the web and return top results
fetch_url
Fetch and return the contents of a URL
Screenshots
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Frequently Asked Questions
Common questions about Ori Mnemos.
- What is Ori Mnemos and what does it do?
- Ori Mnemos provides persistent memory infrastructure designed for AI agents. It integrates identity management, knowledge graph capabilities, and semantic search functionality to enhance agent intelligence and autonomy.
- How can I install and configure Ori Mnemos with a client like Cline?
- Installation and configuration depend on the specific client's integration methods. For Cline, you would typically add the 'ori-mnemos' slug and specify the 'stdio' transport. Refer to the Cline documentation for detailed setup instructions.
- Does Ori Mnemos require an API key or other credentials for use?
- Based on the provided information, Ori Mnemos uses 'none' as its authentication type. Therefore, an API key or other credentials are not explicitly required for its operation.
- What are the core capabilities exposed by Ori Mnemos?
- Ori Mnemos focuses on providing persistent memory, managing agent identity, constructing a knowledge graph, and offering semantic search capabilities. These elements aim to give AI agents a more robust and contextual understanding.
- What is a known limitation or prerequisite for using Ori Mnemos?
- A prerequisite for using Ori Mnemos is familiarity with AI agent architectures and how persistent memory can be integrated. Its effectiveness is tied to how well agents utilize its identity, knowledge graph, and semantic search features.
Install Ori Mnemos
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"ori-mnemos": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-ori-mnemos"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"ori-mnemos": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-ori-mnemos"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"ori-mnemos": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-ori-mnemos"
]
}
}
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