Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-opencode) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
63 lines
1.4 KiB
TOML
63 lines
1.4 KiB
TOML
[project]
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name = "mnemosyne"
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version = "0.1.0"
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description = "Object-addressed context memory for LLM agents — multi-fidelity compression with goal-aware retrieval"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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# --- Inherited from Pichay (proxy foundation) ---
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"httpx>=0.27",
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"fastapi>=0.116.0",
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"uvicorn>=0.35.0",
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"anthropic>=0.84.0",
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"numpy>=2.2.0",
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# --- Mnemosyne additions ---
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# PostgreSQL + vector search (backing store)
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"asyncpg>=0.30.0",
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"pgvector>=0.3.6",
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# Embeddings (semantic search, goal detection)
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"sentence-transformers>=3.4.0",
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# Config
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"tomli>=2.0.0; python_version < '3.11'",
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# Telemetry (optional, from Pichay)
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"prometheus-client>=0.23.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0",
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"pytest-asyncio>=0.25.0",
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"ruff>=0.9.0",
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]
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# Pichay analysis tools (not needed for proxy operation)
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analysis = [
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"matplotlib>=3.10.0",
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"polars>=1.38.0",
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"dask>=2024.1.0",
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"flask>=3.0",
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]
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[project.scripts]
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mnemosyne = "mnemosyne.gateway:main"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/mnemosyne"]
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[tool.ruff]
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target-version = "py312"
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line-length = 100
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[tool.ruff.lint]
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select = ["E", "F", "I", "N", "W", "UP"]
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["tests"]
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