Better Mem0
FreeNot checked[DEPRECATED - use EchoVault] MCP Server for AI memory with PostgreSQL
About
[DEPRECATED - use EchoVault] MCP Server for AI memory with PostgreSQL
README
[!CAUTION] PROJECT DISCONTINUED — The replacement solution is being developed at mnemo-mcp.
Self-hosted MCP Server for AI memory with PostgreSQL (pgvector).
Discontinuation Notice
The better-mem0-mcp project has been discontinued as of February 2026.
The replacement solution is being developed at mnemo-mcp — a lightweight, self-hosted MCP server for persistent AI memory.
Legacy Documentation
[!NOTE] The content below is kept for reference. The final version on PyPI/Docker still works but will not receive any new updates.
Features
- Self-hosted PostgreSQL - Your data stays with you (Neon/Supabase free tier supported)
- Graph Memory - SQL-based relationship tracking alongside vector memory
- Multi-provider LLM - Gemini, OpenAI, Anthropic, Groq, DeepSeek, Mistral
- Fallback chains - Multi-key per provider + multi-model fallback
- Zero manual setup - Just
DATABASE_URL+API_KEYS
Quick Start (Legacy)
1. Get Prerequisites
- Database: Neon or Supabase (free tier works)
- API Key: Any supported provider (Google AI Studio is free)
2. Add to mcp.json
uvx (Recommended)
{
"mcpServers": {
"better-mem0": {
"command": "uvx",
"args": ["better-mem0-mcp@latest"],
"env": {
"DATABASE_URL": "postgresql://user:[email protected]/neondb?sslmode=require",
"API_KEYS": "GOOGLE_API_KEY:AIza..."
}
}
}
}
Docker
{
"mcpServers": {
"better-mem0": {
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "DATABASE_URL", "-e", "API_KEYS", "n24q02m/better-mem0-mcp:latest"],
"env": {
"DATABASE_URL": "postgresql://...",
"API_KEYS": "GOOGLE_API_KEY:AIza..."
}
}
}
}
3. Done!
Ask your AI: "Remember that I prefer dark mode and use FastAPI"
Configuration (Legacy)
| Variable | Required | Description |
|---|---|---|
DATABASE_URL |
Yes | PostgreSQL with pgvector extension |
API_KEYS |
Yes | ENV_VAR:key pairs, comma-separated |
LLM_MODELS |
No | Model fallback chain |
EMBEDDER_MODELS |
No | Embedding model chain |
Supported LiteLLM Providers
Use environment variable names from LiteLLM docs:
GOOGLE_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY, GROQ_API_KEY, etc.
Single provider:
API_KEYS=GOOGLE_API_KEY:AIza...
Multi-key with fallback:
API_KEYS=GOOGLE_API_KEY:AIza-1,GOOGLE_API_KEY:AIza-2,OPENAI_API_KEY:sk-xxx
LLM_MODELS=gemini/gemini-3-flash-preview,openai/gpt-4o-mini
EMBEDDER_MODELS=gemini/gemini-embedding-001,openai/text-embedding-3-small
Defaults
| Setting | Default |
|---|---|
LLM_MODELS |
gemini/gemini-3-flash-preview |
EMBEDDER_MODELS |
gemini/gemini-embedding-001 |
Tools (Legacy)
| Tool | Description |
|---|---|
memory |
Memory operations: add, search, list, delete |
help |
Get full documentation for tools |
Usage Examples
{"action": "add", "content": "I prefer TypeScript over JavaScript"}
{"action": "search", "query": "programming preferences"}
{"action": "list"}
{"action": "delete", "memory_id": "abc123"}
Build from Source (Legacy)
git clone https://github.com/n24q02m/better-mem0-mcp
cd better-mem0-mcp
# Setup (requires mise: https://mise.jdx.dev/)
mise run setup
# Run
uv run better-mem0-mcp
Requirements: Python 3.13+
License
MIT - See LICENSE
Install Better Mem0 in Claude Desktop, Claude Code & Cursor
unyly install better-mem0Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add better-mem0 -- uvx better-mem0-mcpStep-by-step: how to install Better Mem0
FAQ
Is Better Mem0 MCP free?
Yes, Better Mem0 MCP is free — one-click install via Unyly at no cost.
Does Better Mem0 need an API key?
No, Better Mem0 runs without API keys or environment variables.
Is Better Mem0 hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Better Mem0 in Claude Desktop, Claude Code or Cursor?
Open Better Mem0 on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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