M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

#!/bin/sh # NornicDB Docker Entrypoint set -e # Check for GPU availability if [ -f "/usr/bin/nvidia-smi" ] || [ -f "/usr/local/cuda/bin/nvidia-smi" ]; then if nvidia-smi >/dev/null 2>&1; then echo "✓ CUDA GPU detected" export LD_PRELOAD="" else echo "⚠️ CUDA libraries found but no GPU detected - disabling CUDA" # Prevent CUDA library loading by unsetting CUDA variables unset CUDA_VISIBLE_DEVICES unset NVIDIA_VISIBLE_DEVICES # Set flag to disable local embeddings if built with CUDA export NORNICDB_EMBEDDING_PROVIDER="${NORNICDB_EMBEDDING_PROVIDER:-openai}" fi else echo "ℹ️ No CUDA libraries detected - running in CPU mode" fi # Build command line args from environment ARGS="serve" ARGS="$ARGS --data-dir=${NORNICDB_DATA_DIR:-/data}" ARGS="$ARGS --http-port=${NORNICDB_HTTP_PORT:-7474}" ARGS="$ARGS --bolt-port=${NORNICDB_BOLT_PORT:-7687}" # IMPORTANT: In Docker, we must bind to 0.0.0.0 to accept external connections # The default changed to 127.0.0.1 for security (localhost-only outside containers) ARGS="$ARGS --address=${NORNICDB_ADDRESS:-0.0.0.0}" [ "${NORNICDB_NO_AUTH:-false}" = "true" ] && ARGS="$ARGS --no-auth" # Embedding config [ -n "$NORNICDB_EMBEDDING_URL" ] && ARGS="$ARGS --embedding-url=$NORNICDB_EMBEDDING_URL" [ -n "$NORNICDB_EMBEDDING_MODEL" ] && ARGS="$ARGS --embedding-model=$NORNICDB_EMBEDDING_MODEL" [ -n "$NORNICDB_EMBEDDING_DIM" ] && ARGS="$ARGS --embedding-dim=$NORNICDB_EMBEDDING_DIM" exec /app/nornicdb $ARGS "$@"