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pyproject.toml
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74 lines (68 loc) · 1.95 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "engram-memory"
version = "0.6.0"
description = "The memory layer for AI agents. Bio-inspired decay, echo encoding, zero-config."
readme = "README.md"
requires-python = ">=3.11"
license = {text = "MIT"}
authors = [
{name = "Engram Team"}
]
keywords = ["memory-layer", "mcp", "claude", "cursor", "codex", "ai", "agents", "forgetting", "llm"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
]
dependencies = [
"pydantic>=2.0",
"requests>=2.28.0",
"pyyaml>=6.0",
"engram-accel>=0.1.0",
]
[project.optional-dependencies]
# LLM / embedding providers (install what you use)
gemini = ["google-genai>=1.0.0"]
openai = ["openai>=1.0.0"]
nvidia = ["openai>=1.0.0"]
ollama = ["ollama>=0.4.0"]
zvec = ["zvec>=0.2.0"]
sqlite_vec = ["sqlite-vec>=0.1.1"]
# Integrations
mcp = ["mcp>=1.0.0"]
api = ["fastapi>=0.100.0", "uvicorn>=0.20.0"]
bus = ["engram-bus>=0.1.0"]
all = [
"google-genai>=1.0.0",
"openai>=1.0.0",
"ollama>=0.4.0",
"mcp>=1.0.0",
"fastapi>=0.100.0",
"uvicorn>=0.20.0",
"engram-accel>=0.1.0",
"engram-bus>=0.1.0",
]
dev = [
"pytest>=7.0.0",
"build>=1.0.0",
"twine>=5.0.0",
]
[project.scripts]
engram-mcp = "engram.mcp_server:run"
engram = "engram.cli:main"
[project.urls]
Homepage = "https://github.com/Ashish-dwi99/Engram"
Repository = "https://github.com/Ashish-dwi99/Engram"
Issues = "https://github.com/Ashish-dwi99/Engram/issues"
Documentation = "https://github.com/Ashish-dwi99/Engram#readme"
Changelog = "https://github.com/Ashish-dwi99/Engram/blob/main/CHANGELOG.md"
[tool.setuptools.packages.find]
where = ["."]
include = ["engram*"]