Persistent memory for AI coding agents — MCP server, REST API & Python SDK. Works with Claude Code, Cursor, Windsurf and any LLM agent.
Quick Install
Copy the config for your editor. Some servers may need additional setup — check the README.
Claude Desktop
Claude Code
Cursor
Add to claude_desktop_config.json:
{
"mcpServers": {
"memnos": {
"command": "uvx",
"args": [
"memnos"
]
}
}
}
📋 Copy
Run in terminal:
claude mcp add memnos uvx memnos
📋 Copy
Add to .cursor/mcp.json:
{
"mcpServers": {
"memnos": {
"command": "uvx",
"args": [
"memnos"
]
}
}
}
📋 Copy
Or install with pip: pip install memnos
README Excerpt
**Persistent memory for AI coding agents — MCP server, REST API & Python SDK.** memnos gives AI coding agents long-term memory that persists across sessions. Works with **Claude Code, Cursor, Windsurf** and any MCP-compatible client. One Docker container — no external vector database required. ``` Claude Code ─┐
Tools (20)
AsyncMemnosClient MAY MEMNOS_VAULT_KEY SHOULD add_fact get_entity get_heuristics get_related get_task_result graph_query list_agents list_tasks memory_delete memory_get memory_search memory_write openai secret_audit secret_get secret_list
Topics
agent-memory ai-agent arcadedb claude-code cursor-ai knowledge-graph langchain llm-memory mcp-server memory-management openai persistent-memory python rag vector-database