config.toml

# GMemory Configuration

[storage]
# Path to the SQLite database file
db_path = "~/.gmemory/data.db"

[embedding]
# Provider for vector embeddings: "fastembed" (recommended) or "noop"
provider = "fastembed"

# FastEmbed model to use for embeddings
# Available models:
#   - "bge-small"   (BAAI/bge-small-en-v1.5, 384 dims, ~67MB, fastest)
#   - "bge-base"    (BAAI/bge-base-en-v1.5, 768 dims, ~130MB)
#   - "all-minilm"  (sentence-transformers/all-MiniLM-L6-v2, 384 dims)
#   - "nomic"       (nomic-ai/nomic-embed-text-v1.5, 768 dims, long context 8192 tokens)
model = "nomic"

# Dimension of the generated embeddings (must match model)
dimension = 768

# Directory to cache downloaded models (optional)
cache_dir = "~/.gmemory/models"

[scanner]
# Agent type to scan (default: opencode)
default_agent = "opencode"