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pyproject.toml
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51 lines (44 loc) · 1.38 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "agent-memory"
version = "0.1.0"
description = "Five-layer memory system for AI agents"
readme = "README.md"
license = "MIT"
authors = [
{ name = "Pip", email = "pipaitrader@proton.me" }
]
keywords = ["ai", "agents", "memory", "vector-database", "knowledge-graph"]
classifiers = [
"Development Status :: 3 - Alpha",
"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",
]
requires-python = ">=3.10"
dependencies = []
[project.optional-dependencies]
qdrant = ["qdrant-client>=1.7.0"]
falkordb = ["falkordb>=1.0.0"]
all = ["qdrant-client>=1.7.0", "falkordb>=1.0.0", "requests>=2.28.0"]
dev = ["pytest>=7.0.0", "pytest-cov>=4.0.0", "black>=23.0.0", "ruff>=0.1.0"]
[project.scripts]
agent-memory = "src.cli:main"
[project.urls]
Homepage = "https://github.com/pipaitrader/agent-memory"
Repository = "https://github.com/pipaitrader/agent-memory"
Issues = "https://github.com/pipaitrader/agent-memory/issues"
[tool.hatch.build.targets.wheel]
packages = ["src"]
[tool.black]
line-length = 100
target-version = ["py310"]
[tool.ruff]
line-length = 100
select = ["E", "F", "I", "N", "W"]
ignore = ["E501"]