keymem
Associative memory for LLM agents — a key-graph memory layer (MCP server) that recalls by association, not just vector similarity. A graph-based alternative to…
AI & MLnpx -y keymem{
"mcpServers": {
"keymem": {
"command": "npx",
"args": [
"-y",
"keymem"
]
}
}
}keymem is a community MCP server that connects AI assistants like Claude to associative memory for llm agents — a key-graph memory layer (mcp server) that recalls by association, not just vector similarity. a graph-based alternative to…. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.
About keymem
Overview
Associative memory for LLM agents — a key-graph memory layer (MCP server) that recalls by association, not just vector similarity. A graph-based alternative to vector-store agent memory.
Links
Topics
mcp, mcp-server, model-context-protocol, memory, ai-memory, agent-memory, associative-memory, long-term-memory, memory-layer, llm, agent, knowledge-graph, embeddings, rag, reranker, bge-m3, mem0-alternative
Who Should Use keymem?
- 1Chain AI models and pipelines through a unified MCP interface
- 2Let Claude orchestrate other AI tools and models
- 3Integrate embeddings, image generation, or speech APIs into your workflow
- 4Build multi-model workflows without writing custom integration code
How to Install keymem
Before you start
You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.
- 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
- 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
- 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.