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pyproject.toml
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62 lines (56 loc) · 1.78 KB
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[project]
name = "memory-access"
version = "0.1.23"
description = "An MCP server that gives AI agents persistent, intent-based memory with vector embeddings and semantic indexing."
readme = "README.md"
license = {text = "Apache-2.0"}
authors = [
{name = "Emma Hyde", email = "emmajhyde@gmail.com"},
]
keywords = ["mcp", "semantic-memory", "knowledge-graph", "embeddings", "ai-agents", "claude"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.12"
dependencies = [
"mcp[cli]>=1.25.0",
"anthropic>=0.75.0",
"openai>=1.0.0",
"aiosqlite>=0.22.0",
"peewee>=3.17.0",
"pydantic>=2.0",
"numpy>=2.0",
"boto3>=1.35.0",
"firecrawl-py>=1.0.0",
]
[project.urls]
Homepage = "https://github.com/emmahyde/memory-access"
Repository = "https://github.com/emmahyde/memory-access"
Documentation = "https://github.com/emmahyde/memory-access/blob/main/README.md"
Issues = "https://github.com/emmahyde/memory-access/issues"
[dependency-groups]
dev = [
"boto3-stubs>=1.42.49",
"pyright>=1.1.408",
"pytest>=9.0",
"pytest-asyncio>=0.25",
"types-peewee>=3.19.0.20260109",
]
[project.scripts]
memory-access = "memory_access.cli:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/memory_access"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]