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services:
neo4j:
image: neo4j:5.15-community
container_name: neo4j_db
ports:
- "7474:7474" # HTTP Browser UI
- "7687:7687" # Bolt protocol
volumes:
- ./data/neo4j:/data
- ./logs/neo4j:/logs
- ./data/neo4j/import:/var/lib/neo4j/import
environment:
- NEO4J_AUTH=neo4j/${NEO4J_PASSWORD:-password}
- NEO4J_dbms_memory_pagecache_size=512M
- NEO4J_dbms_memory_heap_initial__size=512M
- NEO4J_dbms_memory_heap_max__size=2G
- NEO4J_PLUGINS=["apoc"]
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "cypher-shell -u neo4j -p $${NEO4J_PASSWORD:-password} 'RETURN 1' || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
networks:
- mcp_network
# copilot-api:
# image: timothyswt/copilot-api:latest
# container_name: copilot_api_server
# ports:
# - "4141:4141" # Fixed: copilot-api listens on 4141, not 3000
# volumes:
# - ./copilot-data:/root/.local/share/copilot-api # Persist GitHub token
# environment:
# - NODE_ENV=production
# # Remove PORT=3000, the app uses 4141 by default
# restart: unless-stopped
# healthcheck:
# # Use CMD-SHELL so shell operators (||) work and allow a proper HTTP probe
# test: ["CMD-SHELL", "wget --spider -q http://localhost:4141/ || exit 1"]
# interval: 30s
# timeout: 10s
# retries: 5
# start_period: 15s
# networks:
# - mcp_network
# Ollama (Legacy - kept for reference, can be removed)
ollama:
build:
context: ./docker/ollama
dockerfile: Dockerfile
args:
- EMBEDDING_MODEL=${MIMIR_EMBEDDINGS_MODEL:-bge-m3}
tags:
- mimir-ollama:${VERSION:-1.0.0}
- mimir-ollama:latest
image: mimir-ollama:${VERSION:-1.0.0}
container_name: ollama_server
ports:
- "11434:11434"
volumes:
- type: bind
source: ollama_models
target: /root/.ollama
environment:
- OLLAMA_HOST=0.0.0.0:11434
- OLLAMA_ORIGINS=*
restart: unless-stopped
healthcheck:
test: ["CMD", "ollama", "list"]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
networks:
- mcp_network
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
# llama.cpp server - OpenAI-compatible embeddings
# llama-server:
# image: ghcr.io/ggml-org/llama.cpp:server-cuda
# container_name: llama_server
# ports:
# - "11434:8080" # External 11434 -> Internal 8080 (llama.cpp default)
# volumes:
# - type: bind
# source: ollama_models
# target: /models
# read_only: true
# environment:
# # Model Configuration - using bge-m3
# - LLAMA_ARG_MODEL=/models/models/blobs/sha256-819c2adf5ce6df2b6bd2ae4ca90d2a69f060afeb438d0c171db57daa02e39c3d
# - LLAMA_ARG_ALIAS=bge-m3
# # Server Configuration
# - LLAMA_ARG_HOST=0.0.0.0
# - LLAMA_ARG_PORT=8080
# - LLAMA_ARG_CTX_SIZE=2048
# - LLAMA_ARG_N_PARALLEL=4
# # Embeddings-specific
# - LLAMA_ARG_EMBEDDINGS=true
# - LLAMA_ARG_POOLING=mean
# # Performance
# - LLAMA_ARG_THREADS=-1
# - LLAMA_ARG_NO_MMAP=false
# # GPU support
# - LLAMA_ARG_N_GPU_LAYERS=99
# restart: unless-stopped
# healthcheck:
# test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
# interval: 30s
# timeout: 10s
# retries: 3
# start_period: 30s
# networks:
# - mcp_network
# # Uncomment if you have GPU support (NVIDIA)
# deploy:
# resources:
# reservations:
# devices:
# - driver: nvidia
# count: 1
# capabilities: [gpu]
mimir-server:
build:
context: .
dockerfile: Dockerfile
tags:
- mimir-server:${VERSION:-1.0.0}
- mimir-server:latest
image: mimir-server:${VERSION:-1.0.0}
container_name: mimir_server
restart: unless-stopped
environment:
# Database Configuration
- NEO4J_URI=bolt://neo4j:7687
- NEO4J_USER=neo4j
- NEO4J_PASSWORD=${NEO4J_PASSWORD:-password}
# Server Configuration
- NODE_ENV=production
- PORT=3000
# - NODE_TLS_REJECT_UNAUTHORIZED=${NODE_TLS_REJECT_UNAUTHORIZED:-1}
# Workspace Configuration
- WORKSPACE_ROOT=/workspace
- HOST_WORKSPACE_ROOT=${HOST_WORKSPACE_ROOT:-~/src} # Pass through from host
- HOST_HOME=${HOME} # Host's home directory for expanding ~ in HOST_WORKSPACE_ROOT
# LLM API Configuration (Copilot - OpenAI-compatible)
- MIMIR_DEFAULT_PROVIDER=${MIMIR_DEFAULT_PROVIDER:-ollama}
- MIMIR_LLM_API=${MIMIR_LLM_API:-http://ollama:11434}
- MIMIR_LLM_API_PATH=${MIMIR_LLM_API_PATH:-/v1/chat/completions}
- MIMIR_LLM_API_MODELS_PATH=${MIMIR_LLM_API_MODELS_PATH:-/v1/models}
- MIMIR_LLM_API_KEY=${MIMIR_LLM_API_KEY:-dummy-key}
# PCTX Integration (Code Mode for 90-98% token reduction)
- PCTX_URL=${PCTX_URL:-http://host.docker.internal:8080}
- PCTX_ENABLED=${PCTX_ENABLED:-false}
# Provider and Model Configuration (100% dynamic - no config file needed)
- MIMIR_DEFAULT_MODEL=${MIMIR_DEFAULT_MODEL:-qwen3:4b}
# Per-Agent Model Configuration (optional overrides)
- MIMIR_PM_MODEL=${MIMIR_PM_MODEL:-}
- MIMIR_WORKER_MODEL=${MIMIR_WORKER_MODEL:-}
- MIMIR_QC_MODEL=${MIMIR_QC_MODEL:-}
# Context Window Configuration
- MIMIR_DEFAULT_CONTEXT_WINDOW=${MIMIR_DEFAULT_CONTEXT_WINDOW:-}
# Embeddings API Configuration
- MIMIR_EMBEDDINGS_PROVIDER=${MIMIR_EMBEDDINGS_PROVIDER:-ollama}
- MIMIR_EMBEDDINGS_API=${MIMIR_EMBEDDINGS_API:-http://ollama:11434}
- MIMIR_EMBEDDINGS_API_PATH=${MIMIR_EMBEDDINGS_API_PATH:-/api/embeddings}
- MIMIR_EMBEDDINGS_API_MODELS_PATH=${MIMIR_EMBEDDINGS_API_MODELS_PATH:-/api/tags}
- MIMIR_EMBEDDINGS_API_KEY=${MIMIR_EMBEDDINGS_API_KEY:-dummy-key}
# Embeddings Configuration
- MIMIR_EMBEDDINGS_ENABLED=${MIMIR_EMBEDDINGS_ENABLED:-true}
- MIMIR_EMBEDDINGS_MODEL=${MIMIR_EMBEDDINGS_MODEL:-bge-m3}
- MIMIR_EMBEDDINGS_DIMENSIONS=${MIMIR_EMBEDDINGS_DIMENSIONS:-1024}
- MIMIR_EMBEDDINGS_CHUNK_SIZE=${MIMIR_EMBEDDINGS_CHUNK_SIZE:-768}
- MIMIR_EMBEDDINGS_CHUNK_OVERLAP=${MIMIR_EMBEDDINGS_CHUNK_OVERLAP:-10}
- MIMIR_EMBEDDINGS_DELAY_MS=${MIMIR_EMBEDDINGS_DELAY_MS:-100}
- MIMIR_EMBEDDINGS_MAX_RETRIES=${MIMIR_EMBEDDINGS_MAX_RETRIES:-3}
# Indexing Configuration
- MIMIR_INDEXING_THREADS=${MIMIR_INDEXING_THREADS:-1}
# Feature Flags
- MIMIR_FEATURE_PM_MODEL_SUGGESTIONS=${MIMIR_FEATURE_PM_MODEL_SUGGESTIONS:-true}
- MIMIR_AUTO_INDEX_DOCS=${MIMIR_AUTO_INDEX_DOCS:-true}
# Security Configuration
- MIMIR_ENABLE_SECURITY=${MIMIR_ENABLE_SECURITY:-false}
- MIMIR_DEV_USER_ADMIN=${MIMIR_DEV_USER_ADMIN}
- MIMIR_DEV_USER_DEVELOPER=${MIMIR_DEV_USER_DEVELOPER}
- MIMIR_DEV_USER_ANALYST=${MIMIR_DEV_USER_ANALYST}
- MIMIR_DEV_USER_VIEWER=${MIMIR_DEV_USER_VIEWER}
- MIMIR_JWT_SECRET=${MIMIR_JWT_SECRET}
# OAuth Configuration (explicit endpoint URLs - provider-specific)
- MIMIR_AUTH_PROVIDER=${MIMIR_AUTH_PROVIDER}
- MIMIR_OAUTH_AUTHORIZATION_URL=${MIMIR_OAUTH_AUTHORIZATION_URL} # Full authorization endpoint URL
- MIMIR_OAUTH_TOKEN_URL=${MIMIR_OAUTH_TOKEN_URL} # Full token endpoint URL
- MIMIR_OAUTH_USERINFO_URL=${MIMIR_OAUTH_USERINFO_URL} # Full userinfo endpoint URL
- MIMIR_OAUTH_CLIENT_ID=${MIMIR_OAUTH_CLIENT_ID}
- MIMIR_OAUTH_CLIENT_SECRET=${MIMIR_OAUTH_CLIENT_SECRET}
- MIMIR_OAUTH_CALLBACK_URL=${MIMIR_OAUTH_CALLBACK_URL}
- MIMIR_OAUTH_ALLOW_HTTP=${MIMIR_OAUTH_ALLOW_HTTP}
# Advanced Configuration
- MIMIR_PARALLEL_EXECUTION=${MIMIR_PARALLEL_EXECUTION:-false}
- MIMIR_INSTALL_DIR=${MIMIR_INSTALL_DIR:-/app}
- MIMIR_AGENTS_DIR=${MIMIR_AGENTS_DIR:-/app/docs/agents}
volumes:
- ./data:/app/data
- ./logs:/app/logs
- ${HOST_WORKSPACE_ROOT:-~/src}:${WORKSPACE_ROOT:-/workspace}
ports:
- "9042:3000"
healthcheck:
test: ["CMD", "node", "-e", "require('http').get('http://localhost:3000/health', (res) => process.exit(res.statusCode === 200 ? 0 : 1)).on('error', () => process.exit(1))"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
depends_on:
neo4j:
condition: service_healthy
# copilot-api:
# condition: service_healthy
# Ollama is required for embeddings but you can use a local server
ollama:
condition: service_healthy
networks:
- mcp_network
# # Open-WebUI with Mimir Pipeline Integration
# open-webui:
# build:
# context: .
# dockerfile: docker/open-webui/Dockerfile
# tags:
# - mimir-open-webui:${VERSION:-1.0.0}
# - mimir-open-webui:latest
# image: mimir-open-webui:${VERSION:-1.0.0}
# container_name: mimir-open-webui
# ports:
# - "3000:8080"
# volumes:
# - open-webui:/app/backend/data
# environment:
# # OpenAI-Compatible API Configuration (Copilot API)
# - OPENAI_API_BASE_URL=http://copilot-api:4141/v1
# # - OPENAI_API_BASE_URL=http://host.docker.internal:4141/v1
# - OPENAI_API_KEY=sk-copilot-dummy # Dummy key for copilot-api
# # Disable Ollama (using Copilot API instead)
# - ENABLE_OLLAMA_API=false
# - OLLAMA_BASE_URL=
# # WebUI Configuration
# - WEBUI_NAME=Mimir Multi-Agent Orchestrator
# - WEBUI_URL=http://localhost:3000
# - DEFAULT_MODELS=gpt-4.1 # Default selected model
# # Enable OpenAI API
# - ENABLE_OPENAI_API=true
# depends_on:
# - mcp-server
# - copilot-api
# networks:
# - mcp_network
# restart: unless-stopped
# extra_hosts:
# - "host.docker.internal:host-gateway" # Allow access to host's localhost
volumes:
open-webui:
ollama_models:
networks:
mcp_network:
driver: bridge