[project]
name = "skillmem"
version = "0.13.0"
description = "Self-improving skills for Claude Code — your agent learns, recalls, reinforces, and forgets. SQLite + FTS5 + local embeddings + MCP."
authors = [{ name = "Liza Studio" }]
license = "Apache-2.0"
readme = "README.md"
requires-python = ">=3.11"
keywords = [
    "claude-code",
    "codex",
    "mcp",
    "agent-memory",
    "skills",
    "self-improving",
    "sqlite",
    "fts5",
    "embeddings",
    "hooks",
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Environment :: Console",
    "Intended Audience :: Developers",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3 :: Only",
    "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>=8.1.7",
    # mcp 2.x removed the low-level Server.list_tools/call_tool decorators we use
    "mcp>=1.0.0,<2",
    "pyyaml>=6.0.1",
    "platformdirs>=4.2.0",
    "fastapi>=0.111",
    "uvicorn[standard]>=0.30",
    "snowballstemmer>=2.2",
]

[project.urls]
Homepage = "https://skillmem.dev"
Repository = "https://github.com/liza-studio/skillmem"

[project.scripts]
skillmem = "skillmem.cli:main"
skillmem-mcp = "skillmem.mcp_server:run"
skillmem-server = "skillmem.server:run"

[project.optional-dependencies]
test = ["pytest>=8.0", "hypothesis>=6.0"]
# Semantic recall (local ONNX embeddings, no external API). Optional so the
# base install stays light; recall degrades to BM25 when absent.
semantic = ["fastembed>=0.8", "numpy>=1.26"]

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

[tool.hatch.build.targets.wheel]
packages = ["skillmem"]

[tool.pytest.ini_options]
markers = ["canary: live check against the real claude CLI (costs a model call)"]
testpaths = ["tests"]
python_files = ["test_*.py"]