Home › Knowledge & Memory › MCP AutoMem
MCP AutoMem
Graph-vector memory for AI assistants using FalkorDB and Qdrant
Connect
Review any command before running it. Package names and URLs come from the server's own registry entry.
Remote (streamable-http)
https://{endpoint}/mcp
Claude Code:
claude mcp add --transport http mcp-automem https://{endpoint}/mcp --header "Authorization: <YOUR_VALUE>"
Or add to your MCP client config:
{
"mcpServers": {
"mcp-automem": {
"url": "https://{endpoint}/mcp",
"headers": {
"Authorization": "<YOUR_VALUE>"
}
}
}
}
Authorizationsecret — Bearer token for authentication (optional if using URL-based auth with ?api_token=...)
Remote (sse)
https://{endpoint}/mcp/sse
Claude Code:
claude mcp add --transport sse mcp-automem https://{endpoint}/mcp/sse --header "Authorization: <YOUR_VALUE>"
Or add to your MCP client config:
{
"mcpServers": {
"mcp-automem": {
"url": "https://{endpoint}/mcp/sse",
"headers": {
"Authorization": "<YOUR_VALUE>"
}
}
}
}
Authorizationsecret — Bearer token for authentication (optional if using URL-based auth with ?api_token=...)
Package (npm 0.10.0)
npx -y @verygoodplugins/[email protected]
Or add to your MCP client config:
{
"mcpServers": {
"mcp-automem": {
"command": "npx",
"args": [
"-y",
"@verygoodplugins/[email protected]"
]
}
}
}
Related servers
Context7
Up-to-date code docs for any prompt
cognee
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
hindsight
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Skill_Seekers
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG…
basic-memory
Local-first knowledge management with bi-directional LLM sync via Markdown files.
NoteDiscovery
Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read,…
Data from the Official MCP Registry