pyproject.toml

[project]
name = "brainlayer"
version = "1.5.2"
description = "Persistent memory MCP server for AI agents — 13 tools, semantic search, knowledge graph, on-device SQLite"
license = {text = "Apache-2.0"}
readme = "README.md"
authors = [{name = "Etan Heyman"}]
keywords = ["mcp", "memory", "knowledge-graph", "ai-agent", "claude", "semantic-search", "sqlite-vec", "embeddings"]
requires-python = ">=3.11"
dependencies = [
    # Vector DB (sqlite-vec via APSW)
    "apsw>=3.45.0",
    "sqlite-vec>=0.1.3",  # CVE-2024-46488 fixed in 0.1.3

    # Embeddings (local bge-large-en-v1.5)
    "sentence-transformers>=2.2.0",

    # MCP server
    "mcp>=2.0.0,<3.0.0",
    "jsonschema>=4.20.0",  # MCP v2 low-level handlers require explicit schema validation

    # CLI
    "typer>=0.9.0",
    "rich>=13.0.0",

    # Utils
    "pydantic>=2.0.0",
    "orjson>=3.9.0",  # Fast JSON for JSONL parsing
    "pyyaml>=6.0",  # Chat-tags config
    "numpy>=1.22,<3.0",  # For sentence-transformers
    "scikit-learn>=1.0.0",  # K-means for cluster-based sampling
    "spacy>=3.7,<4.0",  # NER for PII sanitization (en_core_web_sm model)
    "requests>=2.28.0",  # HTTP calls to Ollama for enrichment
    "google-api-python-client>=2.0.0",  # Daily DB backup upload to Google Drive
    "google-auth>=2.0.0",  # OAuth refresh for Google Drive backups
    "ranx>=0.3.20",  # IR evaluation metrics + significance testing
    "abydos>=0.5.0",  # Beider-Morse phonetic matching for cross-script entity aliases
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Software Development :: Libraries",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

[project.optional-dependencies]
cloud = [
    "google-genai>=1.0.0",  # Gemini Batch API for cloud backfill (new SDK)
]
brain = [
    "igraph>=0.11.0",  # Graph operations + Leiden via leidenalg
    "leidenalg>=0.10.0",  # Leiden community detection (replaces graspologic)
    "umap-learn>=0.5.0",  # UMAP 3D layout
    "faiss-cpu>=1.7.0",  # Fast approximate nearest-neighbor search
]
youtube = [
    "yt-dlp>=2024.1.0",  # YouTube video metadata + subtitle download
    "youtube-transcript-api>=1.2.4",  # Primary transcript API (instance-based)
    "certifi",  # SSL certificates for macOS
]
ast = [
    "tree-sitter-languages>=1.9.0",  # Better code chunking (falls back to line-based if unavailable)
]
kg = [
    "gliner>=0.2.20",  # GLiNER multi-lingual NER (209M params, EN+HE)
]
style = [
    "chromadb>=0.4.0",  # ChromaDB vector store (alternative to sqlite-vec)
]
telemetry = [
    "axiom-py>=0.10.0",  # Axiom observability (optional — degrades gracefully)
]
dev = [
    "deepchecks>=0.19.1",
    "google-genai>=1.0.0",
    "numpy<2",
    "pytest>=7.0.0",
    "pytest-asyncio>=0.21.0",
    "ruff>=0.1.0",
    "scikit-learn<1.6",
    "setuptools>=70.0.0,<81",
    "tiktoken>=0.7.0",
    "umap-learn>=0.5.0",
]
docs = [
    "mkdocs-material>=9.5.0",
]

[project.urls]
Homepage = "https://brainlayer.etanheyman.com"
Repository = "https://github.com/EtanHey/brainlayer"
Documentation = "https://etanhey.github.io/brainlayer"
Issues = "https://github.com/EtanHey/brainlayer/issues"

[project.scripts]
brainlayer = "brainlayer.cli:app"
brainlayer-mcp = "brainlayer.mcp:serve"
brainlayer-mcp-stdio-bridge = "brainlayer.mcp_stdio_bridge:main"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.ruff]
line-length = 120
target-version = "py311"

[tool.ruff.lint]
select = ["E", "F", "I", "W"]
ignore = ["E402", "E501", "E741", "F821", "F841"]
per-file-ignores = {"src/brainlayer/cli/__init__.py" = ["F401"]}

[tool.pytest.ini_options]
asyncio_mode = "auto"
pythonpath = ["src"]
markers = [
    "engine: pure-library engine tests (excludes CLI, dashboard, BrainBar, launchd, and root orchestration surfaces)",
    "integration: tests that need the real production DB (268K+ chunks)",
    "live: tests that need the live production DB or mutable local hooks state",
    "slow: tests that load ML models or take >30s",
]

[tool.hatch.build.targets.wheel]
packages = ["src/brainlayer"]
exclude = [
    "src/brainlayer/dashboard",
]

[tool.hatch.build.targets.wheel.force-include]
"scripts/launchd" = "brainlayer/launchd"
"scripts/hotlane_brainbar_daemon.py" = "brainlayer/launchd/hotlane_brainbar_daemon.py"
"scripts/tier0-watchdog.sh" = "brainlayer/launchd/tier0-watchdog.sh"

[tool.hatch.build.targets.sdist]
only-include = [
    "src/brainlayer",
    "scripts/launchd",
    "scripts/hotlane_brainbar_daemon.py",
    "scripts/tier0-watchdog.sh",
    "README.md",
    "LICENSE",
    "server.json",
]
exclude = [
    "docs.local/**",
    "brain-bar/docs.local/**",
    "src/brainlayer/dashboard/**",
]