cogram/pyproject.toml at master · srk0102/cogram · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
[build-system]
requires = ["setuptools>=64", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "cogram"
version = "0.2.0"
description = "Intent-aware memory layer for LLM agents. Forked from Graphiti, with per-edge WHY annotation, DirectorProfile distillation, Engram cache, Redis active subgraph, and Gemma-synthesized knot narratives."
readme = "README.md"
requires-python = ">=3.10,<4"
license = "Apache-2.0"
authors = [
    { name = "Siva Rama Krishna" },
]
keywords = ["agent", "memory", "knowledge-graph", "graphiti", "mcp", "llm", "cognition", "intent", "context-engineering", "fork"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
]
dependencies = [
    # Forked-graphiti core deps
    "pydantic>=2.11.5",
    "neo4j>=5.26.0",
    "openai>=1.91.0",
    "tenacity>=9.0.0",
    "numpy>=1.0.0",
    "python-dotenv>=1.0.1",
    # Cogram-specific deps
    "mcp[cli]>=1.2",
    "httpx>=0.27",
    "asyncpg>=0.29",
    "redis>=5.1",
    "starlette>=0.36",
    "uvicorn>=0.27",
    "instructor>=1.5.0",  # typed structured-output wrapper for post-write LLM calls
]

[project.optional-dependencies]
falkordb = ["falkordb>=1.1.2,<2.0.0"]
kuzu = ["kuzu>=0.11.3"]
anthropic = ["anthropic>=0.49.0"]
gemini = ["google-genai>=1.62.0"]
groq = ["groq>=0.2.0"]
voyage = ["voyageai>=0.2.3"]
all = [
    "falkordb>=1.1.2,<2.0.0",
    "kuzu>=0.11.3",
    "anthropic>=0.49.0",
    "google-genai>=1.62.0",
    "groq>=0.2.0",
    "voyageai>=0.2.3",
]
dev = [
    "pytest>=7",
    "pytest-asyncio>=0.21",
    "ruff>=0.5",
    "pyright>=1.1.404",
]

[project.scripts]
cogram-mcp = "cogram.server.mcp:main"
cogram-pipeline = "cogram.pipeline.runner:main"
cogram-watch = "cogram.pipeline.watch:cli"
cogram-ingest = "cogram.pipeline.ingest:main"
cogram-import = "cogram.pipeline.import_transcripts:cli"
cogram-cache = "cogram.llm_client.engram:cli"

[project.urls]
Homepage = "https://github.com/srk0102/cogram"
Repository = "https://github.com/srk0102/cogram"
Issues = "https://github.com/srk0102/cogram/issues"
"Upstream (graphiti)" = "https://github.com/getzep/graphiti"

# The repo root IS the cogram package: pyproject.toml + project meta files +
# __init__.py + cogram.py + py.typed all sit at the same level.
# Package "cogram" maps to "." (this directory). Sub-packages (core, driver,
# embedder, llm_client, prompts, search, utils, models, cross_encoder,
# namespaces, migrations, telemetry, pipeline, server) are auto-discovered
# under "." and become cogram.core, cogram.driver, etc. via the package_dir
# remap.
[tool.setuptools]
package-dir = { "cogram" = "." }

[tool.setuptools.packages.find]
where = ["."]
exclude = ["tests*", "bench*", "containers*", "scripts*", "examples*", "docs*"]

[tool.setuptools.package-data]
cogram = ["*.md", "py.typed"]