[build-system]
requires = ["hatchling", "python-semantic-release", "build"]
build-backend = "hatchling.build"
[project]
name = "mcp-memory-service-lite"
version = "8.76.0"
description = "Lightweight MCP memory service with ONNX embeddings - no PyTorch required. 80% smaller install size."
readme = "README.md"
requires-python = ">=3.10"
keywords = [
"mcp", "model-context-protocol", "claude-desktop", "semantic-memory",
"vector-database", "ai-assistant", "sqlite-vec", "multi-client",
"semantic-search", "memory-consolidation", "ai-productivity", "vs-code",
"cursor", "continue", "fastapi", "developer-tools", "cross-platform",
"lightweight", "onnx"
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Database :: Database Engines/Servers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Operating System :: OS Independent",
"Environment :: Console",
"Framework :: FastAPI"
]
authors = [
{ name = "Heinrich Krupp", email = "heinrich.krupp@gmail.com" }
]
maintainers = [
{ name = "Sundeep G", email = "sundeepg98@gmail.com" }
]
license = { text = "Apache-2.0" }
dependencies = [
"tokenizers==0.20.3",
"mcp>=1.8.0,<2.0.0",
"python-dotenv>=1.0.0",
"sqlite-vec>=0.1.0",
"build>=0.10.0",
"aiohttp>=3.8.0",
"fastapi>=0.115.0",
"uvicorn>=0.30.0",
"python-multipart>=0.0.9",
"sse-starlette>=2.1.0",
"aiofiles>=23.2.1",
"psutil>=5.9.0",
"zeroconf>=0.130.0",
"pypdf2>=3.0.0",
"chardet>=5.0.0",
"click>=8.0.0",
"httpx>=0.24.0",
"authlib>=1.2.0",
"python-jose[cryptography]>=3.3.0",
"onnxruntime>=1.14.1",
"typing-extensions>=4.0.0; python_version < '3.11'",
"apscheduler>=3.11.0",
]
[project.optional-dependencies]
# Machine learning dependencies for full torch-based embeddings
ml = [
"sentence-transformers>=2.2.2",
"torch>=2.0.0"
]
# Full installation (lite + ml)
full = [
"mcp-memory-service-lite[ml]"
]
[project.scripts]
memory = "mcp_memory_service.cli.main:main"
memory-server = "mcp_memory_service.cli.main:memory_server_main"
mcp-memory-server = "mcp_memory_service.mcp_server:main"
[project.urls]
Homepage = "https://github.com/doobidoo/mcp-memory-service"
Documentation = "https://github.com/doobidoo/mcp-memory-service#readme"
Repository = "https://github.com/doobidoo/mcp-memory-service"
Issues = "https://github.com/doobidoo/mcp-memory-service/issues"
[tool.hatch.build.targets.wheel]
packages = ["src/mcp_memory_service"]
[tool.hatch.version]
path = "src/mcp_memory_service/__init__.py"
