┌──────────────────────────────────┐
│  AI Client (any MCP-compatible)  │
│  Claude Code / Codex / Copilot   │
│  ChatGPT / custom agents         │
├──────────────────────────────────┤
│         MCP Protocol             │
│   stdio / SSE / Streamable HTTP  │
├──────────────────────────────────┤
│      Memory OS AI Server         │
│  ┌────────┐  ┌───────────────┐   │
│  │ FAISS  │  │ Chat Extractor│   │
│  │ Index  │  │ (4 sources)   │   │
│  └────────┘  └───────────────┘   │
│  ┌────────────────────────────┐  │
│  │ Cross-Project Linking      │  │
│  └────────────────────────────┘  │
└──────────────────────────────────┘

# macOS
brew install tesseract ffmpeg antiword

# Ubuntu/Debian
sudo apt-get install tesseract-ocr ffmpeg antiword

git clone https://github.com/romainsantoli-web/Memory-os-ai.git
cd Memory-os-ai
pip install -e ".[dev,audio]"

# Setup for your AI client:
memory-os-ai setup claude-code    # Claude Code
memory-os-ai setup codex          # Codex CLI
memory-os-ai setup vscode         # VS Code Copilot
memory-os-ai setup claude-desktop # Claude Desktop
memory-os-ai setup chatgpt        # ChatGPT (manual bridge)
memory-os-ai setup all            # All of the above

# Check status:
memory-os-ai setup status

# stdio (default — Claude Code, VS Code, Codex)
memory-os-ai

# SSE transport (port 8765)
memory-os-ai --sse

# Streamable HTTP (port 8765)
memory-os-ai --http

Memory-os-ai/
├── src/memory_os_ai/
│   ├── __init__.py          # Public API: MemoryEngine, ChatExtractor, TOOL_MODELS
│   ├── __main__.py          # python -m memory_os_ai entry point
│   ├── server.py            # MCP server — 21 tools, 3 transports, resources
│   ├── engine.py            # FAISS engine — indexing, search, compact, session brief
│   ├── cloud_storage.py     # 8 cloud backends (GDrive, iCloud, Dropbox, OneDrive, S3, Azure, Box, B2)
│   ├── storage_router.py    # Smart routing: local-first with cloud overflow
│   ├── models.py            # 21 Pydantic models + TOOL_MODELS registry
│   ├── chat_extractor.py    # 4 extractors: Claude, ChatGPT, Copilot, terminal
│   ├── instructions.py      # MEMORY_INSTRUCTIONS for AI clients
│   └── setup.py             # Auto-setup CLI for 5 AI clients
├── bridges/
│   ├── claude-code/         # CLAUDE.md with memory rules
│   ├── claude-desktop/      # config.json for Claude Desktop
│   ├── codex/               # AGENTS.md for Codex CLI
│   ├── vscode/              # mcp.json for VS Code
│   └── chatgpt/             # mcp-connection.json for ChatGPT
├── tests/                   # 410+ tests — 96% coverage
│   ├── test_memory.py       # Engine + models (60 tests)
│   ├── test_chat_extractor.py  # Chat extraction (39 tests)
│   ├── test_bridges.py      # Bridge configs (22 tests)
│   ├── test_gaps.py         # Compact, cross-project, resources (34 tests)
│   ├── test_server_dispatch.py # Server dispatch + async (61 tests)
│   ├── test_setup.py        # Setup CLI targets
│   ├── test_z_coverage_boost.py # Coverage boost (35 tests)
│   └── test_zz_full_coverage.py # Full coverage (97 tests)
├── pyproject.toml           # v3.1.0 — deps, scripts, coverage config + cloud optional deps
├── Dockerfile               # Container deployment
└── README.md

# Configure via environment (auto-activates on server start)
export MEMORY_CLOUD_PROVIDER=icloud
export MEMORY_CLOUD_CONFIG='{"container": "memory-os-ai"}'
memory-os-ai

# Or configure at runtime via MCP tool:
#   memory_cloud_configure(provider="s3", credentials={"bucket": "my-bucket", ...})
#   memory_cloud_status()       → local disk + cloud usage
#   memory_cloud_sync("push")   → backup to cloud
#   memory_cloud_sync("pull")   → restore from cloud
#   memory_cloud_sync("auto")   → offload if disk low

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
python -m pytest tests/ -v

# Run with coverage
python -m pytest tests/ --cov=memory_os_ai --cov-report=term-missing

# Coverage threshold: 80% (enforced in pyproject.toml)