forked from SpeedyFoxAi/jarvis-memory
Initial commit: Jarvis Memory system
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71
docker-compose.yml
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71
docker-compose.yml
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version: '3.8'
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services:
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# Vector Database - Long-term semantic memory
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qdrant:
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image: qdrant/qdrant:latest
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container_name: qdrant-memory
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ports:
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- "6333:6333"
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- "6334:6334"
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volumes:
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- qdrant-storage:/qdrant/storage
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environment:
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- QDRANT__SERVICE__HTTP_PORT=6333
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restart: unless-stopped
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# qdrant image does not ship with curl/wget; disable container-level healthcheck.
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# Host-level checks (curl to localhost:6333) are sufficient.
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# healthcheck:
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# test: ["CMD", "sh", "-lc", ": </dev/tcp/127.0.0.1/6333" ]
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# interval: 30s
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# timeout: 10s
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# retries: 3
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# Fast Buffer - Short-term memory accumulation
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redis:
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image: redis:7-alpine
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container_name: redis-memory
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ports:
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- "6379:6379"
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volumes:
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- redis-data:/data
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command: redis-server --appendonly yes
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 3s
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retries: 5
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# Embeddings - Generate vectors for semantic search
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ollama:
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image: ollama/ollama:latest
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container_name: ollama-embeddings
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ports:
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- "11434:11434"
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volumes:
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- ollama-models:/root/.ollama
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environment:
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- OLLAMA_HOST=0.0.0.0
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restart: unless-stopped
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# Pull the embedding model on first start
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entrypoint: >
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sh -c "
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ollama serve &
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sleep 5
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ollama pull snowflake-arctic-embed2
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wait
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"
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volumes:
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qdrant-storage:
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driver: local
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redis-data:
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driver: local
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ollama-models:
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driver: local
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networks:
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default:
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name: memory-system
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driver: bridge
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