sebaplaza
717a57ff43
Add a multi-stage, uv-based Dockerfile producing a CPU image (with the extract + spellcheck extras), plus a CUDA variant (Dockerfile.gpu) for onnxruntime-gpu accelerated embeddings. A single flexible entrypoint dispatches to the MCP stdio server (default) or the mempalace CLI. All state -- palace, config, and the lazily downloaded embedding model -- persists under /data via HOME, runs as a non-root user, and is exposed as a volume. Also add a docker-compose.yml for convenience, a GHCR publish workflow, and a Docker section in the README.
56 lines
640 B
Plaintext
56 lines
640 B
Plaintext
# Keep the build context lean — only what `uv sync` + the package need.
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# VCS
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.git/
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.gitignore
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# Python build artifacts / caches
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*.egg-info/
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dist/
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build/
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__pycache__/
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*.pyc
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.pytest_cache/
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.mypy_cache/
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.ruff_cache/
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htmlcov/
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.coverage
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coverage.xml
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# Virtual environments (rebuilt inside the image)
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.venv/
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venv/
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# Local config / secrets
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.env
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.env.*
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.envrc
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mempal.yaml
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# Editor / OS cruft
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.idea/
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.vscode/
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*.swp
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*.swo
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*~
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.DS_Store
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Thumbs.db
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# Repo material not needed at runtime
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.devcontainer/
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.github/
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.agents/
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.claude/
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.codex/
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.codex-plugin/
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.claude-plugin/
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benchmarks/
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docs/
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website/
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landing/
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assets/
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examples/
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tests/
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*.md
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!README.md
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