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claude-writ


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Author: Lucio Saldivar
Summary: Guardrails for Claude Code: the rules that fit the task delivered per prompt, and no risky writes before you approve a plan and tests. Hybrid retrieval (BM25 + vector + graph traversal + weighted ranking, with an abstention gate) over a Neo4j knowledge graph, wired in through hook scripts and a session state machine.
Latest version: 1.12.0
Required dependencies: fastapi | hnswlib | httpx | neo4j | onnxruntime | pydantic | rich | starlette | tantivy | typer | uvicorn
Optional dependencies: memory-profiler | mypy | optimum | pytest | pytest-asyncio | pytest-benchmark | ruff | scikit-learn | sentence-transformers

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