A-MEM MCP
A-MEM provides a self-evolving memory system for coding agents, organizing knowledge into a Zettelkasten-style graph with dynamic relationships. It automatically extracts keywords, finds semantic neighbors, and evolves connections over time, storing data in ChromaDB. It exposes tools for adding, searching, updating, and deleting memories, supporting both semantic and structural search to help agents maintain context across sessions.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Store new knowledge notes asynchronously
- Search memories using semantic queries
- Explore memory connections via graph traversal
- Update or delete existing memory entries
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
a-mem 0.2.1
{
"version": "0.2.1",
"transport": "stdio",
"identifier": "a-mem",
"registryType": "pypi",
"environmentVariables": [
{
"name": "LLM_BACKEND",
"format": "string",
"default": "openai",
"description": "LLM backend to use (openai, ollama, sglang, or openrouter)"
},
{
"name": "LLM_MODEL",
"format": "string",
"default": "gpt-4o-mini",
"description": "LLM model name (e.g., gpt-4o-mini, llama2, etc.)"
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isRequired": true,
"description": "OpenAI API key (required if LLM_BACKEND=openai)"
},
{
"name": "EMBEDDING_MODEL",
"format": "string",
"default": "all-MiniLM-L6-v2",
"description": "Sentence transformer model for embeddings"
},
{
"name": "CHROMA_DB_PATH",
"format": "string",
"default": "./chroma_db",
"description": "ChromaDB storage directory path"
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"a-mem-mcp": {
"command": "uvx",
"args": [
"a-mem==0.2.1"
],
"env": {
"LLM_BACKEND": "<YOUR_LLM_BACKEND>",
"LLM_MODEL": "<YOUR_LLM_MODEL>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"EMBEDDING_MODEL": "<YOUR_EMBEDDING_MODEL>",
"CHROMA_DB_PATH": "<YOUR_CHROMA_DB_PATH>"
}
}
}
}Cline
{
"mcpServers": {
"a-mem-mcp": {
"command": "uvx",
"args": [
"a-mem==0.2.1"
],
"env": {
"LLM_BACKEND": "<YOUR_LLM_BACKEND>",
"LLM_MODEL": "<YOUR_LLM_MODEL>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"EMBEDDING_MODEL": "<YOUR_EMBEDDING_MODEL>",
"CHROMA_DB_PATH": "<YOUR_CHROMA_DB_PATH>"
}
}
}
}VS Code
{
"servers": {
"a-mem-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"a-mem==0.2.1"
],
"env": {
"LLM_BACKEND": "<YOUR_LLM_BACKEND>",
"LLM_MODEL": "<YOUR_LLM_MODEL>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"EMBEDDING_MODEL": "<YOUR_EMBEDDING_MODEL>",
"CHROMA_DB_PATH": "<YOUR_CHROMA_DB_PATH>"
}
}
}
}Claude Desktop
{
"mcpServers": {
"a-mem-mcp": {
"command": "uvx",
"args": [
"a-mem==0.2.1"
],
"env": {
"LLM_BACKEND": "<YOUR_LLM_BACKEND>",
"LLM_MODEL": "<YOUR_LLM_MODEL>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"EMBEDDING_MODEL": "<YOUR_EMBEDDING_MODEL>",
"CHROMA_DB_PATH": "<YOUR_CHROMA_DB_PATH>"
}
}
}
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