# Using uvx (recommended)
uvx mnemonic-memory

# Or pip
pip install mnemonic-memory

{
  "mcpServers": {
    "mnemonic": {
      "command": "uvx",
      "args": ["mnemonic-memory"]
    }
  }
}

{
  "mcpServers": {
    "mnemonic": {
      "command": "mnemonic"
    }
  }
}

mnemonic_create({
  "title": "Bash's communication preferences",
  "content": "Direct and concise. Lead with conclusions (Minto Pyramid). No fluff.",
  "tags": ["preferences", "communication"],
  "triggers": ["how should I respond to bash"]
})

# Full-text search
mnemonic_search({"query": "communication preferences"})

# Filter by tags
mnemonic_search({"tags": ["preferences"]})

# Combined
mnemonic_search({"query": "direct", "tags": ["communication"]})

mnemonic_pin({"id": "abc-123", "pinned": true})

export MNEMONIC_DATA_DIR="/custom/path"

memories
├── id (TEXT, UUID)
├── type (TEXT, default 'memory')
├── title (TEXT)
├── content (TEXT)
├── weight (REAL, 0.1-1.0)
├── pinned (BOOLEAN)
├── emotional_flag (BOOLEAN)
├── created_at (TEXT, ISO timestamp)
├── updated_at (TEXT)
├── last_accessed_at (TEXT)
├── access_count (INTEGER)
├── status (TEXT: active, archived)
└── metadata (JSON)

tags
├── id (INTEGER)
└── name (TEXT, unique)

memory_tags (many-to-many)

triggers
├── id (INTEGER)
├── memory_id (TEXT)
└── phrase (TEXT)

# Clone
git clone https://github.com/bashoh/mnemonic-memory
cd mnemonic-memory

# Install with dev dependencies
pip install -e ".[dev]"

# Run locally
python -m mnemonic