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pyproject.toml
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50 lines (44 loc) · 1.5 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "quilmem"
version = "0.2.3"
description = "Trusted memory for long-lived coding agents. SQLite + FTS5. Truth governance built in."
readme = "README.md"
license = "MIT"
requires-python = ">=3.10"
authors = [{ name = "Michael Onyek" }]
keywords = ["agent", "memory", "llm", "ai", "mcp", "sqlite", "fts5"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Software Development :: Libraries",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"click>=8.0",
]
[project.optional-dependencies]
mcp = ["mcp>=1.0"]
vectors = ["sqlite-vec>=0.1"]
tokens = ["tiktoken>=0.5"]
all = ["mcp>=1.0", "sqlite-vec>=0.1", "tiktoken>=0.5"]
dev = ["pytest>=7.0", "pytest-cov>=4.0"]
[project.scripts]
agentmem = "agentmem.cli:main"
[project.urls]
Homepage = "https://thezenmonster.github.io/agentmem/"
Documentation = "https://thezenmonster.github.io/agentmem/mcp-setup.html"
Repository = "https://github.com/thezenmonster/agentmem"
Issues = "https://github.com/thezenmonster/agentmem/issues"
[tool.hatch.build.targets.wheel]
packages = ["agentmem"]
[tool.pytest.ini_options]
testpaths = ["tests"]