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README.md

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@@ -46,12 +46,21 @@ https://github.com/shadowthreads/shadowthreads-demo-coding-workflow
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That demo shows AI coding workflow state, revision lineage, execution replay, and replay verification in one place.
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**Deployment model
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## Deployment model
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Shadow Threads is currently designed to be self-hosted.
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Shadow Threads is currently intended for self-hosted use in local or controlled environments.
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Developers run the backend locally or in their own environment,
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then connect their workflows through the SDK, API, CLI, or MCP layer.
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If deployed beyond localhost, users should add appropriate authentication, network restrictions, secret management, and database hardening.
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## Security considerations
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Shadow Threads records workflow state, artifacts, and execution boundaries for AI workflows.
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Depending on the workflow, this may include prompts, intermediate tool outputs, or other runtime data.
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Users deploying Shadow Threads should treat the backend and database as sensitive infrastructure and apply appropriate security practices, including authentication, network isolation, and secure database configuration.
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Shadow Threads is currently intended for self-hosted use in controlled environments.
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## Quickstart
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