ContextMemory/docker-compose.yml at main · Kortexio/ContextMemory · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
# One-command local stack: API (:5100) + Admin (:5200) + MCP runtime + code sandbox
# Usage:  docker compose up --build
# LLM engine: add -f docker-compose.llamacpp.yml (CPU) or -f docker-compose.vllm.yml (GPU),
# or point LLM_ENDPOINT at any OpenAI-compatible /v1 server. Falls back to Ollama on the host.
#
# mcp-runtime  = hosts MCP stdio servers (e.g. zuora-mcp)
# sandbox-runtime = runs shell/python/node via POST /execute (self-hosted-sandbox)

name: contextmemory

services:
  mcp-runtime:
    build:
      context: .
      dockerfile: Dockerfile.mcp-runtime
    container_name: contextmemory-mcp-runtime
    restart: unless-stopped
    environment:
      PORT: "8080"
      MCP_SESSION_IDLE_MS: "300000"
      MCP_DEFAULT_TIMEOUT_MS: "120000"
    volumes:
      - mcp_packages:/opt/mcps
      # Optional scaffold: Azure Log Analytics MCP (stdio)
      - ./mcp-runtime/mcps/azure-monitor-mcp:/opt/mcps/azure-monitor-mcp:ro
    networks:
      - cm-net
    healthcheck:
      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8080/health"]
      interval: 15s
      timeout: 5s
      retries: 8
      start_period: 20s

  sandbox-runtime:
    build:
      context: .
      dockerfile: Dockerfile.sandbox-runtime
    container_name: contextmemory-sandbox-runtime
    restart: unless-stopped
    environment:
      PORT: "8080"
      SANDBOX_TIMEOUT_MS: "60000"
      SANDBOX_MAX_OUTPUT_CHARS: "32000"
      SANDBOX_ALLOW_EGRESS: "true"
      # Lab bootstrap only — prefer Admin MCP credentials Env (azure-monitor / github).
      # AZURE_TENANT_ID: ""
      # AZURE_CLIENT_ID: ""
      # AZURE_CLIENT_SECRET: ""
      # LOG_ANALYTICS_WORKSPACE_ID: ""
      # GITHUB_TOKEN: ""
    networks:
      - cm-net
    healthcheck:
      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8080/health"]
      interval: 15s
      timeout: 5s
      retries: 8
      start_period: 15s

  api:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: contextmemory-api
    restart: unless-stopped
    ports:
      - "${API_PORT:-5100}:8080"
    environment:
      ASPNETCORE_ENVIRONMENT: Production
      ASPNETCORE_URLS: http://+:8080
      ContextMemory__PersistenceProvider: ${PERSISTENCE_PROVIDER:-File}
      ContextMemory__DataPath: /app/data
      ContextMemory__LlmEndpoint: ${LLM_ENDPOINT:-}
      ContextMemory__OllamaEndpoint: ${OLLAMA_ENDPOINT:-http://host.docker.internal:11434}
      ContextMemory__OpenAiEndpoint: ${OPENAI_ENDPOINT:-https://api.openai.com}
      ContextMemory__OpenAiApiKey: ${OPENAI_API_KEY:-}
      ContextMemory__DefaultLlmModel: ${DEFAULT_LLM_MODEL:-qwen3.5:9b}
      ContextMemory__MasterKey: ${MASTER_KEY:-cm_master_dev_key_change_me}
      ContextMemory__McpRuntimeUrl: http://mcp-runtime:8080
      ContextMemory__AdminCorsOrigins__0: ${ADMIN_PUBLIC_URL:-http://localhost:5200}
      ContextMemory__Apps__demo-dev__ApiKey: ${DEMO_APP_API_KEY:-cm_live_dev_key_change_me}
      ContextMemory__Apps__demo-dev__SystemPrompt: You are a helpful, clear, and precise assistant.
      ContextMemory__Apps__demo-dev__DefaultLanguage: en-US
      ContextMemory__Apps__demo-dev__LlmModel: ${DEFAULT_LLM_MODEL:-qwen3.5:9b}
    volumes:
      - cm_data:/app/data
    depends_on:
      mcp-runtime:
        condition: service_healthy
      sandbox-runtime:
        condition: service_healthy
    extra_hosts:
      - "host.docker.internal:host-gateway"
    networks:
      - cm-net
    healthcheck:
      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8080/health"]
      interval: 15s
      timeout: 10s
      retries: 8
      start_period: 60s

  admin:
    build:
      context: .
      dockerfile: Dockerfile.admin
    container_name: contextmemory-admin
    restart: unless-stopped
    ports:
      - "${ADMIN_PORT:-5200}:8080"
    environment:
      ASPNETCORE_ENVIRONMENT: Production
      ASPNETCORE_URLS: http://+:8080
      # Server-side HttpClient talks to the API container on the Docker network
      Admin__DefaultApiBaseUrl: http://api:8080
      Admin__PublicApiBaseUrl: ${PUBLIC_API_URL:-http://localhost:5100}
      Admin__DefaultMasterKey: ${MASTER_KEY:-cm_master_dev_key_change_me}
      ApiBaseUrl: http://api:8080
    depends_on:
      api:
        condition: service_healthy
    networks:
      - cm-net

volumes:
  cm_data:
  mcp_packages:

networks:
  cm-net:
    driver: bridge